Merge remote-tracking branch 'origin/aerial_25-3' into integration_2026_w05 (!3868)
CI: Upgrade Aerial pipeline to 25-3 Upgrade Aerial CI pipeline to 25-3 after aerial-cuda-accelerated-ran became open source.
This commit is contained in:
Jaroslava Fiedlerova
@@ -418,13 +418,13 @@ class Containerize():
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elif image != 'ran-build':
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cmd.run(f'sed -i -e "s#ran-build:latest#ran-build:{imageTag}#" docker/Dockerfile.{pattern}{self.dockerfileprefix}')
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if image == 'oai-gnb-aerial':
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cmd.run('cp -f /opt/nvidia-ipc/nvipc_src.2025.10.09.tar.gz .')
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cmd.run('cp -f /opt/nvidia-ipc/nvipc_src.2026.01.07.tar.gz .')
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logfile = f'{lSourcePath}/cmake_targets/log/{name}.docker.log'
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ret = cmd.run(f'{self.cli} build {self.cliBuildOptions} --target {image} --tag {name}:{imageTag} --file docker/Dockerfile.{pattern}{self.dockerfileprefix} {option} . > {logfile} 2>&1', timeout=1200)
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t = (name, archiveArtifact(cmd, ctx, logfile))
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log_files.append(t)
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if image == 'oai-gnb-aerial':
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cmd.run('rm -f nvipc_src.2025.10.09.tar.gz')
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cmd.run('rm -f nvipc_src.2026.01.07.tar.gz')
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# check the status of the build
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ret = cmd.run(f"{self.cli} image inspect --format=\'Size = {{{{.Size}}}} bytes\' {name}:{imageTag}")
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if ret.returncode != 0:
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@@ -13,16 +13,7 @@ gNBs =
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// Tracking area code, 0x0000 and 0xfffe are reserved values
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tracking_area_code = 1;
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plmn_list = ({
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mcc = 208;
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mnc = 97;
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mnc_length = 2;
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snssaiList = (
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{
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sst = 1;
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}
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);
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});
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plmn_list = ({ mcc = 208; mnc = 97; mnc_length = 2; snssaiList = ({ sst = 1; }) });
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nr_cellid = 12345678L;
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@@ -186,19 +177,19 @@ gNBs =
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MACRLCs = (
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{
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num_cc = 1;
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remote_s_address = "127.0.0.1"; // pnf addr [!]
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local_s_address = "127.0.0.2"; // vnf addr
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local_s_portc = 50001; // vnf p5 port
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remote_s_portc = 50000; // pnf p5 port [!]
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local_s_portd = 50011; // vnf p7 port [!]
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remote_s_portd = 50010; // pnf p7 port [!]
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tr_s_preference = "aerial";
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tr_n_preference = "local_RRC";
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pusch_TargetSNRx10 = 280; # 150;
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pucch_TargetSNRx10 = 200; #200;
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dl_max_mcs = 28;
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ul_max_mcs = 28;
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num_cc = 1;
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remote_s_address = "127.0.0.1"; // pnf addr [!]
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local_s_address = "127.0.0.2"; // vnf addr
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local_s_portc = 50001; // vnf p5 port
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remote_s_portc = 50000; // pnf p5 port [!]
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local_s_portd = 50011; // vnf p7 port [!]
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remote_s_portd = 50010; // pnf p7 port [!]
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tr_s_preference = "aerial";
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tr_n_preference = "local_RRC";
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pusch_TargetSNRx10 = 280; # 150;
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pucch_TargetSNRx10 = 200; #200;
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dl_max_mcs = 28;
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ul_max_mcs = 28;
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}
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);
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@@ -222,13 +213,13 @@ security = {
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log_config :
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{
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global_log_level ="info";
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hw_log_level ="info";
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phy_log_level ="info";
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mac_log_level ="info";
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rlc_log_level ="info";
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pdcp_log_level ="info";
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rrc_log_level ="info";
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ngap_log_level ="debug";
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f1ap_log_level ="debug";
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global_log_level ="info";
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hw_log_level ="info";
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phy_log_level ="info";
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mac_log_level ="info";
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rlc_log_level ="info";
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pdcp_log_level ="info";
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rrc_log_level ="info";
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ngap_log_level ="debug";
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f1ap_log_level ="debug";
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};
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@@ -80,7 +80,7 @@
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<testCase>
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<class>Iperf</class>
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<desc>iperf (DL/UDP/800M)(30 sec)(single-ue profile)</desc>
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<iperf_args>-u -b 800M -t 30 -R</iperf_args>
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<iperf_args>-u -b 800M -t 30 -R -l 1428</iperf_args>
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<svr_id>oc-cn5g-20897-aerial</svr_id>
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<id>up2-aerial</id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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@@ -101,7 +101,7 @@
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<class>Iperf</class>
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<desc>Optional iperf (DL/UDP/1000M)(30 sec)(single-ue profile)</desc>
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<may_fail>true</may_fail>
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<iperf_args>-u -b 1000M -t 30 -R</iperf_args>
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<iperf_args>-u -b 1000M -t 30 -R -l 1428</iperf_args>
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<svr_id>oc-cn5g-20897-aerial</svr_id>
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<id>up2-aerial</id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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@@ -101,7 +101,7 @@
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<testCase>
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<class>Iperf</class>
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<desc>iperf (DL/UDP/200M)(30 sec)(single-ue profile)</desc>
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<iperf_args>-u -b 200M -t 30 -R</iperf_args>
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<iperf_args>-u -b 200M -t 30 -R -l 1428</iperf_args>
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<svr_id>oc-cn5g-20897-aerial</svr_id>
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<id>up2-aerial</id>
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<iperf_packetloss_threshold>25</iperf_packetloss_threshold>
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@@ -4,8 +4,6 @@
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cuBB_Path="${cuBB_SDK:-/opt/nvidia/cuBB}"
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cd "$cuBB_Path" || exit 1
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# Add gdrcopy to LD_LIBRARY_PATH
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export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/mellanox/dpdk/lib/x86_64-linux-gnu:/opt/mellanox/doca/lib/x86_64-linux-gnu:/opt/nvidia/cuBB/cuPHY-CP/external/gdrcopy/build/x86_64/
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# Restart MPS
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# Export variables
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@@ -14,7 +12,7 @@ export CUDA_MPS_PIPE_DIRECTORY=/var
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export CUDA_MPS_LOG_DIRECTORY=/var
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# Stop existing MPS
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sudo -E echo quit | sudo -E nvidia-cuda-mps-control
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echo quit | sudo -E nvidia-cuda-mps-control
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# Start MPS
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sudo -E nvidia-cuda-mps-control -d
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@@ -24,11 +22,11 @@ sudo -E echo start_server -uid 0 | sudo -E nvidia-cuda-mps-control
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# Check if an argument is provided
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if [ $# -eq 0 ]; then
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# No argument provided, use default value
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argument="P5G_FXN_GH"
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argument="P5G_WNC_GH"
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else
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# Argument provided, use it
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argument="$1"
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fi
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sudo -E "$cuBB_Path"/build/cuPHY-CP/cuphycontroller/examples/cuphycontroller_scf "$argument"
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sudo -E ./build/cuPHY-CP/gt_common_libs/nvIPC/tests/pcap/pcap_collect
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sudo -E "$cuBB_Path"/build.$(uname -m)/cuPHY-CP/cuphycontroller/examples/cuphycontroller_scf "$argument"
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sudo -E ./build.$(uname -m)/cuPHY-CP/gt_common_libs/nvIPC/tests/pcap/pcap_collect
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@@ -0,0 +1,243 @@
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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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aerial_sdk_version: 25-3-cubb
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l2adapter_filename: l2_adapter_config_P5G_GH.yaml
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aerial_metrics_backend_address: 127.0.0.1:8081
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# CPU core shared by all low-priority threads
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low_priority_core: 10
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enable_ptp_svc_monitoring: 0
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ptp_rms_threshold: 20 #ns
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nic_tput_alert_threshold_mbps: 85000
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cuphydriver_config:
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standalone: 0
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validation: 0
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num_slots: 8
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log_level: DBG
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profiler_sec: 0
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dpdk_thread: 10
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dpdk_verbose_logs: 0
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accu_tx_sched_res_ns: 500
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accu_tx_sched_disable: 0 #Flag applicable only for CX6-DX : BF3/CX7 HW and beyond support accurate send scheduling directly on timestamp, for CX6-DX this is implemented via software emulation
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fh_stats_dump_cpu_core: -1
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pdump_client_thread: -1
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use_green_contexts: 0
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use_batched_memcpy: 0 # Experimental feature; requires >= CUDA 12.8
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mps_sm_pusch: 100
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mps_sm_pucch: 2
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mps_sm_prach: 2
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mps_sm_ul_order: 20
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mps_sm_pdsch: 102
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mps_sm_pdcch: 10
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mps_sm_pbch: 2
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mps_sm_gpu_comms: 16
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mps_sm_srs: 16
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pdsch_fallback: 0
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dpdk_file_prefix: cuphycontroller
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nics:
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- nic: '0000:01:00.0'
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mtu: 9216
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cpu_mbufs: 196608
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uplane_tx_handles: 64
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txq_size: 8192
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rxq_size: 16384
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gpu: 0
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cus_port_failover: 0
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gpus:
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- 0
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# Set GPUID to the GPU sharing the PCIe switch as NIC
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# run nvidia-smi topo -m to find out which GPU
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workers_ul: [4,5]
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workers_dl: [6,7,8]
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debug_worker: -1
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workers_sched_priority: 95
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prometheus_thread: -1
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start_section_id_srs: 3072
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start_section_id_prach: 2048
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enable_ul_cuphy_graphs: 1
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enable_dl_cuphy_graphs: 1
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ul_order_kernel_mode: 0 # 0: Ping-Pong, 1: dual CTA
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ul_order_timeout_cpu_ns: 8000000
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ul_order_timeout_log_interval_ns: 1000000000
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ul_order_timeout_gpu_ns: 3000000
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ul_order_timeout_gpu_srs_ns: 5200000
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ul_srs_aggr3_task_launch_offset_ns: 500000
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ul_order_timeout_gpu_log_enable: 0
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ul_order_max_rx_pkts: 512
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ul_order_rx_pkts_timeout_ns: 100000
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cplane_disable: 0
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gpu_init_comms_dl: 1
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cell_group: 1
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cell_group_num: 1
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fix_beta_dl: 0
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bfw_beta_prescaler: 16384
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pusch_workCancelMode: 2 # set cuphyPuschStatPrms_t workCancelMode field to PUSCH_DEVICE_GRAPHS; this only sets the mode and does not cancel work;
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# work cancellation (i.e., not launching some of the device graphs) can only occur after an explicit internal
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# memory write is timely observed by a PUSCH graph.
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pusch_sinr: 2
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pusch_rssi: 1
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pusch_tdi: 1
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pusch_cfo: 1
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pusch_dftsofdm: 0
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pusch_to: 1
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pusch_select_eqcoeffalgo: 3
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pusch_select_chestalgo: 1
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pusch_enable_perprgchest: 0
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pusch_tbsizecheck: 1
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pusch_deviceGraphLaunchEn: 1
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pusch_waitTimeOutPreEarlyHarqUs: 3000
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pusch_waitTimeOutPostEarlyHarqUs: 3000
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puxch_polarDcdrListSz: 8
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enable_cpu_task_tracing: 0
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enable_prepare_tracing: 0
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disable_empw: 0 #1=>Disables Multi packet WQE feature
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cqe_tracer_config:
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enable_dl_cqe_tracing: 0
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cqe_trace_cell_mask: 1 #[64 bit mask: Bit0->Cell0, Bit1->Cell1...]
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cqe_trace_slot_mask: 196800 #[20 bit mask: Bit0->Slot0, Bit1->Slot1...] 196800=>All *6,*7 DL Slots
|
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ul_rx_pkt_tracing_level: 0
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ul_rx_pkt_tracing_level_srs: 0
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||||
pmu_metrics: 0 #Enable and select PMU metrics, 0=disabled, 1=General Counters (platform agnostic), 2=Topdown Metrics (Grace only), 3=Cache Metrics (Grace only)
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enable_h2d_copy_thread: 1
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h2d_copy_thread_cpu_affinity : 11
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h2d_copy_thread_sched_priority : 95 #0->SCHED_OTHER, >0->Actual
|
||||
split_ul_cuda_streams: 0 # 1=Put UL slot 4 and slot 5 on different streams for DDDSUUDDDD pattern
|
||||
serialize_pucch_pusch: 0 # 1=Force serialization of PUSCH/PUCCH
|
||||
# Note: for Early Harq (EH) order is PUSCH EH -> PUCCH -> PUSCH non EH
|
||||
# for non-Early Harq order is PUCCH -> all PUSCH processing
|
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aggr_obj_non_avail_th: 5 # Threshold for consecutive non-availability of Aggregated objects(UL/DL) or DL/UL buffers
|
||||
dl_wait_th_ns:
|
||||
- 500000 #H2D copy wait threshold
|
||||
- 4000000 #cuPHY DL channel wait threshold
|
||||
sendCPlane_timing_error_th_ns : 0
|
||||
sendCPlane_ulbfw_backoff_th_ns: 300000 # ULBFW must be completed by cplane send time - this is the backoff time
|
||||
sendCPlane_dlbfw_backoff_th_ns: 300000 # DLBFW must be completed by cplane send time - this is the backoff time
|
||||
pusch_forcedNumCsi2Bits: 0
|
||||
mMIMO_enable: 0
|
||||
enable_srs: 1
|
||||
ue_mode: 0
|
||||
mCh_segment_proc_enable: 0
|
||||
pusch_aggr_per_ctx: 3
|
||||
prach_aggr_per_ctx: 2
|
||||
pucch_aggr_per_ctx: 4
|
||||
srs_aggr_per_ctx: 3
|
||||
ul_input_buffer_per_cell: 10
|
||||
ul_input_buffer_per_cell_srs: 6
|
||||
max_harq_pools: 384
|
||||
max_harq_tx_count_bundled: 10
|
||||
max_harq_tx_count_non_bundled: 4
|
||||
ok_testbench_config:
|
||||
enable_ok_tb: 0
|
||||
num_ok_tb_slot: 0 #Presently not used
|
||||
max_ru_unhealthy_ul_slots: 100
|
||||
srs_chest_algo_type: 0
|
||||
srs_chest_tol2_normalization_algo_type: 1
|
||||
srs_chest_tol2_constant_scaler: 32768.0
|
||||
bfw_power_normalization_alg_selector: 1
|
||||
total_num_srs_chest_buffers: 6144
|
||||
send_static_bfw_wt_all_cplane: 1
|
||||
ul_pcap_capture_enable: 0
|
||||
ul_pcap_capture_thread_cpu_affinity: 10
|
||||
ul_pcap_capture_thread_sched_priority: 95
|
||||
pcap_logger_ul_cplane_enable: 0
|
||||
pcap_logger_dl_cplane_enable: 0
|
||||
pcap_logger_thread_cpu_affinity: 10
|
||||
pcap_logger_thread_sched_prio: 95
|
||||
pcap_logger_file_save_dir: ./
|
||||
dlc_bfw_enable_divide_per_cell: 0 # Enable/disable dividing DL BFW C-Plane transmission window among multiple cells in a slot
|
||||
ulc_bfw_enable_divide_per_cell: 0 # Enable/disable dividing UL BFW C-Plane transmission window among multiple cells in a slot
|
||||
dlc_alloc_cplane_bfw_txq: 0 # Allocates a second separate queue for BFW DL C-Plane transmission
|
||||
ulc_alloc_cplane_bfw_txq: 1 # Allocates a second separate queue for BFW UL C-Plane transmission
|
||||
#static beam id range
|
||||
static_beam_id_start: 1
|
||||
static_beam_id_end: 16527
|
||||
#dynamic beam id range
|
||||
dynamic_beam_id_start: 16528 #Dynamic beam ID start should be after static beam ID end
|
||||
dynamic_beam_id_end: 32767 #15bit max value
|
||||
bfw_c_plane_chaining_mode: 0 # 0: Default memcpy of BFW weights, 1: CPU mbuf chaining of BFW weights, 2: GPU mbuf chaining
|
||||
enable_l1_param_sanity_check: 0
|
||||
pusch_nMaxLdpcHetConfigs: 32
|
||||
notify_ul_harq_buffer_release: 0
|
||||
|
||||
# data_config:
|
||||
# datalake_core: 12 # This must be set for Data Lake and/or E3 Agent to be used
|
||||
# datalake_db_write_enable: 1 # Enable/disable ClickHouse writes based on datalake_data_types
|
||||
# datalake_samples: 1000000
|
||||
# datalake_address: localhost
|
||||
# datalake_engine: "MergeTree() PRIMARY KEY (TsTaiNs)"
|
||||
# # datalake_drop_tables: 0 # Set to 1 to drop Clickhouse tables at startup
|
||||
# datalake_data_types: [fh, pusch, hest] # Data types to write to ClickHouse DB (all types always collected in memory for E3 Agent):
|
||||
# fh = Fronthaul IQ samples,pusch = PUSCH/FAPI data, hest = channel estimates
|
||||
# datalake_store_failed_pdu: 0 # Set to 1 to store PDU data even when CRC fails
|
||||
# e3_agent_enable: 0 # Enable/disable E3 Agent and dApp capabilities
|
||||
# num_rows_fh: 120
|
||||
# num_rows_pusch: 200
|
||||
# num_rows_hest: 140
|
||||
# e3_pub_port: 5555 # E3 publisher port for indication messages
|
||||
# e3_rep_port: 5556 # E3 reply port for E3AP requests
|
||||
# e3_sub_port: 5560 # E3 subscriber port for Manager messages
|
||||
|
||||
cells:
|
||||
- name: O-RU 0
|
||||
cell_id: 1
|
||||
ru_type: 1
|
||||
# set to 00:00:00:00:00:00 to use the MAC address of the NIC port to use
|
||||
src_mac_addr: 00:00:00:00:00:00
|
||||
dst_mac_addr: e8:c7:cf:ad:12:0b #WNC n78
|
||||
nic: '0000:01:00.0'
|
||||
vlan: 500
|
||||
pcp: 7
|
||||
txq_count_uplane: 1
|
||||
eAxC_id_ssb_pbch: [0, 1, 2, 3]
|
||||
eAxC_id_pdcch: [0, 1, 2, 3]
|
||||
eAxC_id_pdsch: [0, 1, 2, 3]
|
||||
eAxC_id_csirs: [0, 1, 2, 3]
|
||||
eAxC_id_pusch: [0, 1, 2, 3]
|
||||
eAxC_id_pucch: [0, 1, 2, 3]
|
||||
eAxC_id_srs: [8, 9, 10, 11]
|
||||
eAxC_id_prach: [4, 5, 6, 7]
|
||||
dl_iq_data_fmt: {comp_meth: 1, bit_width: 9}
|
||||
ul_iq_data_fmt: {comp_meth: 1, bit_width: 9}
|
||||
section_3_time_offset: 484
|
||||
fs_offset_dl: 7
|
||||
exponent_dl: 4
|
||||
ref_dl: 0
|
||||
fs_offset_ul: -5
|
||||
exponent_ul: 4
|
||||
max_amp_ul: 65504
|
||||
mu: 1
|
||||
T1a_max_up_ns: 280000
|
||||
T1a_max_cp_ul_ns: 405000
|
||||
Ta4_min_ns: 50000
|
||||
Ta4_max_ns: 331000
|
||||
Tcp_adv_dl_ns: 125000
|
||||
ul_u_plane_tx_offset_ns: 280000
|
||||
fh_len_range: 0
|
||||
pusch_prb_stride: 273
|
||||
prach_prb_stride: 12
|
||||
srs_prb_stride: 273
|
||||
pusch_ldpc_max_num_itr_algo_type: 1
|
||||
pusch_fixed_max_num_ldpc_itrs: 10
|
||||
pusch_ldpc_early_termination: 0
|
||||
pusch_ldpc_algo_index: 0
|
||||
pusch_ldpc_flags: 2
|
||||
pusch_ldpc_use_half: 1
|
||||
pusch_nMaxPrb: 273
|
||||
pusch_nMaxRx: 4
|
||||
ul_gain_calibration: 78.68
|
||||
lower_guard_bw: 845
|
||||
tv_pusch: cuPhyChEstCoeffs.h5
|
||||
@@ -18,12 +18,13 @@ services:
|
||||
- /lib/modules:/lib/modules
|
||||
- /dev/hugepages:/dev/hugepages
|
||||
- /usr/src:/usr/src
|
||||
- ./cuphycontroller_P5G_WNC_GH.yaml:/opt/nvidia/cuBB/cuPHY-CP/cuphycontroller/config/cuphycontroller_P5G_WNC_GH.yaml
|
||||
- ./aerial_l1_entrypoint.sh:/opt/nvidia/cuBB/aerial_l1_entrypoint.sh
|
||||
- /var/log/aerial:/var/log/aerial
|
||||
- ../../../cmake_targets/share:/opt/cuBB/share
|
||||
userns_mode: host
|
||||
ipc: "shareable"
|
||||
image: cubb-build:25-2.1
|
||||
image: cubb-build:25-3
|
||||
environment:
|
||||
- cuBB_SDK=/opt/nvidia/cuBB
|
||||
command: bash -c "sudo rm -rf /tmp/phy.log && sudo chmod +x /opt/nvidia/cuBB/aerial_l1_entrypoint.sh && /opt/nvidia/cuBB/aerial_l1_entrypoint.sh"
|
||||
@@ -45,7 +46,7 @@ services:
|
||||
- IPC_LOCK
|
||||
ipc: "container:nv-cubb"
|
||||
environment:
|
||||
USE_ADDITIONAL_OPTIONS: --log_config.global_log_options level,nocolor,time
|
||||
USE_ADDITIONAL_OPTIONS: --log_config.global_log_options level,nocolor,utc_time
|
||||
deploy:
|
||||
resources:
|
||||
reservations:
|
||||
|
||||
@@ -4,8 +4,6 @@
|
||||
cuBB_Path="${cuBB_SDK:-/opt/nvidia/cuBB}"
|
||||
|
||||
cd "$cuBB_Path" || exit 1
|
||||
# Add gdrcopy to LD_LIBRARY_PATH
|
||||
export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/mellanox/dpdk/lib/x86_64-linux-gnu:/opt/mellanox/doca/lib/x86_64-linux-gnu:/opt/nvidia/cuBB/cuPHY-CP/external/gdrcopy/build/x86_64/
|
||||
|
||||
# Restart MPS
|
||||
# Export variables
|
||||
@@ -14,7 +12,7 @@ export CUDA_MPS_PIPE_DIRECTORY=/var
|
||||
export CUDA_MPS_LOG_DIRECTORY=/var
|
||||
|
||||
# Stop existing MPS
|
||||
sudo -E echo quit | sudo -E nvidia-cuda-mps-control
|
||||
echo quit | sudo -E nvidia-cuda-mps-control
|
||||
|
||||
# Start MPS
|
||||
sudo -E nvidia-cuda-mps-control -d
|
||||
@@ -24,11 +22,11 @@ sudo -E echo start_server -uid 0 | sudo -E nvidia-cuda-mps-control
|
||||
# Check if an argument is provided
|
||||
if [ $# -eq 0 ]; then
|
||||
# No argument provided, use default value
|
||||
argument="P5G_FXN_GH"
|
||||
argument="P5G_WNC_GH"
|
||||
else
|
||||
# Argument provided, use it
|
||||
argument="$1"
|
||||
fi
|
||||
|
||||
sudo -E "$cuBB_Path"/build/cuPHY-CP/cuphycontroller/examples/cuphycontroller_scf "$argument"
|
||||
sudo -E ./build/cuPHY-CP/gt_common_libs/nvIPC/tests/pcap/pcap_collect
|
||||
sudo -E "$cuBB_Path"/build.$(uname -m)/cuPHY-CP/cuphycontroller/examples/cuphycontroller_scf "$argument"
|
||||
sudo -E ./build.$(uname -m)/cuPHY-CP/gt_common_libs/nvIPC/tests/pcap/pcap_collect
|
||||
|
||||
@@ -0,0 +1,243 @@
|
||||
# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
||||
# SPDX-License-Identifier: Apache-2.0
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
aerial_sdk_version: 25-3-cubb
|
||||
l2adapter_filename: l2_adapter_config_P5G_GH.yaml
|
||||
aerial_metrics_backend_address: 127.0.0.1:8081
|
||||
|
||||
# CPU core shared by all low-priority threads
|
||||
low_priority_core: 10
|
||||
enable_ptp_svc_monitoring: 0
|
||||
ptp_rms_threshold: 20 #ns
|
||||
nic_tput_alert_threshold_mbps: 85000
|
||||
|
||||
cuphydriver_config:
|
||||
standalone: 0
|
||||
validation: 0
|
||||
num_slots: 8
|
||||
log_level: DBG
|
||||
profiler_sec: 0
|
||||
dpdk_thread: 10
|
||||
dpdk_verbose_logs: 0
|
||||
accu_tx_sched_res_ns: 500
|
||||
accu_tx_sched_disable: 0 #Flag applicable only for CX6-DX : BF3/CX7 HW and beyond support accurate send scheduling directly on timestamp, for CX6-DX this is implemented via software emulation
|
||||
fh_stats_dump_cpu_core: -1
|
||||
pdump_client_thread: -1
|
||||
use_green_contexts: 0
|
||||
use_batched_memcpy: 0 # Experimental feature; requires >= CUDA 12.8
|
||||
mps_sm_pusch: 100
|
||||
mps_sm_pucch: 2
|
||||
mps_sm_prach: 2
|
||||
mps_sm_ul_order: 20
|
||||
mps_sm_pdsch: 102
|
||||
mps_sm_pdcch: 10
|
||||
mps_sm_pbch: 2
|
||||
mps_sm_gpu_comms: 16
|
||||
mps_sm_srs: 16
|
||||
pdsch_fallback: 0
|
||||
dpdk_file_prefix: cuphycontroller
|
||||
nics:
|
||||
- nic: '0000:01:00.0'
|
||||
mtu: 9216
|
||||
cpu_mbufs: 196608
|
||||
uplane_tx_handles: 64
|
||||
txq_size: 8192
|
||||
rxq_size: 16384
|
||||
gpu: 0
|
||||
cus_port_failover: 0
|
||||
gpus:
|
||||
- 0
|
||||
# Set GPUID to the GPU sharing the PCIe switch as NIC
|
||||
# run nvidia-smi topo -m to find out which GPU
|
||||
workers_ul: [4,5]
|
||||
workers_dl: [6,7,8]
|
||||
debug_worker: -1
|
||||
workers_sched_priority: 95
|
||||
prometheus_thread: -1
|
||||
start_section_id_srs: 3072
|
||||
start_section_id_prach: 2048
|
||||
enable_ul_cuphy_graphs: 1
|
||||
enable_dl_cuphy_graphs: 1
|
||||
ul_order_kernel_mode: 0 # 0: Ping-Pong, 1: dual CTA
|
||||
ul_order_timeout_cpu_ns: 8000000
|
||||
ul_order_timeout_log_interval_ns: 1000000000
|
||||
ul_order_timeout_gpu_ns: 3000000
|
||||
ul_order_timeout_gpu_srs_ns: 5200000
|
||||
ul_srs_aggr3_task_launch_offset_ns: 500000
|
||||
ul_order_timeout_gpu_log_enable: 0
|
||||
ul_order_max_rx_pkts: 512
|
||||
ul_order_rx_pkts_timeout_ns: 100000
|
||||
cplane_disable: 0
|
||||
gpu_init_comms_dl: 1
|
||||
cell_group: 1
|
||||
cell_group_num: 1
|
||||
fix_beta_dl: 0
|
||||
bfw_beta_prescaler: 16384
|
||||
pusch_workCancelMode: 2 # set cuphyPuschStatPrms_t workCancelMode field to PUSCH_DEVICE_GRAPHS; this only sets the mode and does not cancel work;
|
||||
# work cancellation (i.e., not launching some of the device graphs) can only occur after an explicit internal
|
||||
# memory write is timely observed by a PUSCH graph.
|
||||
pusch_sinr: 2
|
||||
pusch_rssi: 1
|
||||
pusch_tdi: 1
|
||||
pusch_cfo: 1
|
||||
pusch_dftsofdm: 0
|
||||
pusch_to: 1
|
||||
pusch_select_eqcoeffalgo: 3
|
||||
pusch_select_chestalgo: 1
|
||||
pusch_enable_perprgchest: 0
|
||||
pusch_tbsizecheck: 1
|
||||
pusch_deviceGraphLaunchEn: 1
|
||||
pusch_waitTimeOutPreEarlyHarqUs: 3000
|
||||
pusch_waitTimeOutPostEarlyHarqUs: 3000
|
||||
puxch_polarDcdrListSz: 8
|
||||
enable_cpu_task_tracing: 0
|
||||
enable_prepare_tracing: 0
|
||||
disable_empw: 0 #1=>Disables Multi packet WQE feature
|
||||
cqe_tracer_config:
|
||||
enable_dl_cqe_tracing: 0
|
||||
cqe_trace_cell_mask: 1 #[64 bit mask: Bit0->Cell0, Bit1->Cell1...]
|
||||
cqe_trace_slot_mask: 196800 #[20 bit mask: Bit0->Slot0, Bit1->Slot1...] 196800=>All *6,*7 DL Slots
|
||||
ul_rx_pkt_tracing_level: 0
|
||||
ul_rx_pkt_tracing_level_srs: 0
|
||||
pmu_metrics: 0 #Enable and select PMU metrics, 0=disabled, 1=General Counters (platform agnostic), 2=Topdown Metrics (Grace only), 3=Cache Metrics (Grace only)
|
||||
enable_h2d_copy_thread: 1
|
||||
h2d_copy_thread_cpu_affinity : 11
|
||||
h2d_copy_thread_sched_priority : 95 #0->SCHED_OTHER, >0->Actual
|
||||
split_ul_cuda_streams: 0 # 1=Put UL slot 4 and slot 5 on different streams for DDDSUUDDDD pattern
|
||||
serialize_pucch_pusch: 0 # 1=Force serialization of PUSCH/PUCCH
|
||||
# Note: for Early Harq (EH) order is PUSCH EH -> PUCCH -> PUSCH non EH
|
||||
# for non-Early Harq order is PUCCH -> all PUSCH processing
|
||||
aggr_obj_non_avail_th: 5 # Threshold for consecutive non-availability of Aggregated objects(UL/DL) or DL/UL buffers
|
||||
dl_wait_th_ns:
|
||||
- 500000 #H2D copy wait threshold
|
||||
- 4000000 #cuPHY DL channel wait threshold
|
||||
sendCPlane_timing_error_th_ns : 0
|
||||
sendCPlane_ulbfw_backoff_th_ns: 300000 # ULBFW must be completed by cplane send time - this is the backoff time
|
||||
sendCPlane_dlbfw_backoff_th_ns: 300000 # DLBFW must be completed by cplane send time - this is the backoff time
|
||||
pusch_forcedNumCsi2Bits: 0
|
||||
mMIMO_enable: 0
|
||||
enable_srs: 1
|
||||
ue_mode: 0
|
||||
mCh_segment_proc_enable: 0
|
||||
pusch_aggr_per_ctx: 9 #3
|
||||
prach_aggr_per_ctx: 2
|
||||
pucch_aggr_per_ctx: 4
|
||||
srs_aggr_per_ctx: 3
|
||||
ul_input_buffer_per_cell: 10
|
||||
ul_input_buffer_per_cell_srs: 6
|
||||
max_harq_pools: 384
|
||||
max_harq_tx_count_bundled: 10
|
||||
max_harq_tx_count_non_bundled: 4
|
||||
ok_testbench_config:
|
||||
enable_ok_tb: 0
|
||||
num_ok_tb_slot: 0 #Presently not used
|
||||
max_ru_unhealthy_ul_slots: 100
|
||||
srs_chest_algo_type: 0
|
||||
srs_chest_tol2_normalization_algo_type: 1
|
||||
srs_chest_tol2_constant_scaler: 32768.0
|
||||
bfw_power_normalization_alg_selector: 1
|
||||
total_num_srs_chest_buffers: 6144
|
||||
send_static_bfw_wt_all_cplane: 1
|
||||
ul_pcap_capture_enable: 0
|
||||
ul_pcap_capture_thread_cpu_affinity: 10
|
||||
ul_pcap_capture_thread_sched_priority: 95
|
||||
pcap_logger_ul_cplane_enable: 0
|
||||
pcap_logger_dl_cplane_enable: 0
|
||||
pcap_logger_thread_cpu_affinity: 10
|
||||
pcap_logger_thread_sched_prio: 95
|
||||
pcap_logger_file_save_dir: ./
|
||||
dlc_bfw_enable_divide_per_cell: 0 # Enable/disable dividing DL BFW C-Plane transmission window among multiple cells in a slot
|
||||
ulc_bfw_enable_divide_per_cell: 0 # Enable/disable dividing UL BFW C-Plane transmission window among multiple cells in a slot
|
||||
dlc_alloc_cplane_bfw_txq: 0 # Allocates a second separate queue for BFW DL C-Plane transmission
|
||||
ulc_alloc_cplane_bfw_txq: 1 # Allocates a second separate queue for BFW UL C-Plane transmission
|
||||
#static beam id range
|
||||
static_beam_id_start: 1
|
||||
static_beam_id_end: 16527
|
||||
#dynamic beam id range
|
||||
dynamic_beam_id_start: 16528 #Dynamic beam ID start should be after static beam ID end
|
||||
dynamic_beam_id_end: 32767 #15bit max value
|
||||
bfw_c_plane_chaining_mode: 0 # 0: Default memcpy of BFW weights, 1: CPU mbuf chaining of BFW weights, 2: GPU mbuf chaining
|
||||
enable_l1_param_sanity_check: 0
|
||||
pusch_nMaxLdpcHetConfigs: 32
|
||||
notify_ul_harq_buffer_release: 0
|
||||
|
||||
# data_config:
|
||||
# datalake_core: 12 # This must be set for Data Lake and/or E3 Agent to be used
|
||||
# datalake_db_write_enable: 1 # Enable/disable ClickHouse writes based on datalake_data_types
|
||||
# datalake_samples: 1000000
|
||||
# datalake_address: localhost
|
||||
# datalake_engine: "MergeTree() PRIMARY KEY (TsTaiNs)"
|
||||
# # datalake_drop_tables: 0 # Set to 1 to drop Clickhouse tables at startup
|
||||
# datalake_data_types: [fh, pusch, hest] # Data types to write to ClickHouse DB (all types always collected in memory for E3 Agent):
|
||||
# fh = Fronthaul IQ samples,pusch = PUSCH/FAPI data, hest = channel estimates
|
||||
# datalake_store_failed_pdu: 0 # Set to 1 to store PDU data even when CRC fails
|
||||
# e3_agent_enable: 0 # Enable/disable E3 Agent and dApp capabilities
|
||||
# num_rows_fh: 120
|
||||
# num_rows_pusch: 200
|
||||
# num_rows_hest: 140
|
||||
# e3_pub_port: 5555 # E3 publisher port for indication messages
|
||||
# e3_rep_port: 5556 # E3 reply port for E3AP requests
|
||||
# e3_sub_port: 5560 # E3 subscriber port for Manager messages
|
||||
|
||||
cells:
|
||||
- name: O-RU 0
|
||||
cell_id: 1
|
||||
ru_type: 1
|
||||
# set to 00:00:00:00:00:00 to use the MAC address of the NIC port to use
|
||||
src_mac_addr: 00:00:00:00:00:00
|
||||
dst_mac_addr: e8:c7:cf:ad:12:0b #WNC n78
|
||||
nic: '0000:01:00.0'
|
||||
vlan: 500
|
||||
pcp: 7
|
||||
txq_count_uplane: 1
|
||||
eAxC_id_ssb_pbch: [0, 1, 2, 3]
|
||||
eAxC_id_pdcch: [0, 1, 2, 3]
|
||||
eAxC_id_pdsch: [0, 1, 2, 3]
|
||||
eAxC_id_csirs: [0, 1, 2, 3]
|
||||
eAxC_id_pusch: [0, 1, 2, 3]
|
||||
eAxC_id_pucch: [0, 1, 2, 3]
|
||||
eAxC_id_srs: [8, 9, 10, 11]
|
||||
eAxC_id_prach: [4, 5, 6, 7]
|
||||
dl_iq_data_fmt: {comp_meth: 1, bit_width: 9}
|
||||
ul_iq_data_fmt: {comp_meth: 1, bit_width: 9}
|
||||
section_3_time_offset: 484
|
||||
fs_offset_dl: 7
|
||||
exponent_dl: 4
|
||||
ref_dl: 0
|
||||
fs_offset_ul: -5
|
||||
exponent_ul: 4
|
||||
max_amp_ul: 65504
|
||||
mu: 1
|
||||
T1a_max_up_ns: 280000
|
||||
T1a_max_cp_ul_ns: 405000
|
||||
Ta4_min_ns: 50000
|
||||
Ta4_max_ns: 331000
|
||||
Tcp_adv_dl_ns: 125000
|
||||
ul_u_plane_tx_offset_ns: 280000
|
||||
fh_len_range: 0
|
||||
pusch_prb_stride: 273
|
||||
prach_prb_stride: 12
|
||||
srs_prb_stride: 273
|
||||
pusch_ldpc_max_num_itr_algo_type: 1
|
||||
pusch_fixed_max_num_ldpc_itrs: 10
|
||||
pusch_ldpc_early_termination: 0
|
||||
pusch_ldpc_algo_index: 0
|
||||
pusch_ldpc_flags: 2
|
||||
pusch_ldpc_use_half: 1
|
||||
pusch_nMaxPrb: 273
|
||||
pusch_nMaxRx: 4
|
||||
ul_gain_calibration: 78.68
|
||||
lower_guard_bw: 845
|
||||
tv_pusch: cuPhyChEstCoeffs.h5
|
||||
@@ -18,12 +18,13 @@ services:
|
||||
- /lib/modules:/lib/modules
|
||||
- /dev/hugepages:/dev/hugepages
|
||||
- /usr/src:/usr/src
|
||||
- ./cuphycontroller_P5G_WNC_GH_ul.yaml:/opt/nvidia/cuBB/cuPHY-CP/cuphycontroller/config/cuphycontroller_P5G_WNC_GH.yaml
|
||||
- ./aerial_l1_entrypoint.sh:/opt/nvidia/cuBB/aerial_l1_entrypoint.sh
|
||||
- /var/log/aerial:/var/log/aerial
|
||||
- ../../../cmake_targets/share:/opt/cuBB/share
|
||||
userns_mode: host
|
||||
ipc: "shareable"
|
||||
image: cubb-build:25-2.1_srs-ul-heavy
|
||||
image: cubb-build:25-3
|
||||
environment:
|
||||
- cuBB_SDK=/opt/nvidia/cuBB
|
||||
command: bash -c "sudo rm -rf /tmp/phy.log && sudo chmod +x /opt/nvidia/cuBB/aerial_l1_entrypoint.sh && /opt/nvidia/cuBB/aerial_l1_entrypoint.sh"
|
||||
@@ -45,7 +46,7 @@ services:
|
||||
- IPC_LOCK
|
||||
ipc: "container:nv-cubb"
|
||||
environment:
|
||||
USE_ADDITIONAL_OPTIONS: --log_config.global_log_options level,nocolor,time
|
||||
USE_ADDITIONAL_OPTIONS: --log_config.global_log_options level,nocolor,utc_time
|
||||
deploy:
|
||||
resources:
|
||||
reservations:
|
||||
|
||||
+190
-104
@@ -1,4 +1,4 @@
|
||||
# OAI 7.2 Fronthaul Interface 5G SA Tutorial
|
||||
# OAI - Aerial FAPI Split Tutorial
|
||||
|
||||
**Table of Contents**
|
||||
|
||||
@@ -14,9 +14,12 @@ The hardware on which we have tried this tutorial:
|
||||
| Dell PowerEdge R750 (Dual Intel Xeon Gold 6336Y CPU @ 2.4G, 24C/48T (185W), 512GB RDIMM, 3200MT/s) |Ubuntu 22.04.3 LTS (5.15.0-72-lowlatency)| NVIDIA Converged Accelerator A100X (24.39.2048) |
|
||||
| Supermicro Grace Hopper MGX ARS-111GL-NHR (Neoverse-V2, 3.4GHz, 72C/72T, 576GB LPDDR5) | Ubuntu 22.04.5 LTS (6.5.0-1019-nvidia-64k) |NVIDIA BlueField3 (32.41.1000)|
|
||||
|
||||
**NOTE**:
|
||||
- These are not minimum hardware requirements. This is the configuration of our servers. The NIC card should support hardware PTP time stamping.
|
||||
- Starting from tag [2025.w13](https://gitlab.eurecom.fr/oai/openairinterface5g/-/tree/2025.w13?ref_type=tags) of OAI, we are only testing with the Grace Hopper server.
|
||||
**Note**:
|
||||
- These are not minimum hardware requirements. This is the configuration of our
|
||||
servers. The NIC card should support hardware PTP time stamping.
|
||||
- Starting from tag
|
||||
[2025.w13](https://gitlab.eurecom.fr/oai/openairinterface5g/-/tree/2025.w13?ref_type=tags)
|
||||
of OAI, we are only testing with the Grace Hopper server.
|
||||
|
||||
PTP enabled switches and grandmaster clock we have tested with:
|
||||
|
||||
@@ -54,10 +57,10 @@ The UEs that have been tested and confirmed working with Aerial are the followin
|
||||
To set up the L1 and install the components manually refer to this [instructions page](https://docs.nvidia.com/aerial/cuda-accelerated-ran/index.html).
|
||||
|
||||
**Note**:
|
||||
- As of wk36, the L1 must be compiled with the following CMake flag: `-DSCF_FAPI_10_04_SRS=ON` , this is due to the usage
|
||||
of the FAPI 10.04 version of the SRS PDU, and RX_Beamforming PDU.
|
||||
- To configure the Gigabyte server please refer to these [instructions](https://gitlab.eurecom.fr/oai/openairinterface5g/-/blob/2025.w13/doc/Aerial_FAPI_Split_Tutorial.md)
|
||||
- The last release to support the Gigabyte server is **Aerial CUDA-Accelerated RAN 24-1**.
|
||||
- To configure the Gigabyte server please refer to these
|
||||
[instructions](https://gitlab.eurecom.fr/oai/openairinterface5g/-/blob/2025.w13/doc/Aerial_FAPI_Split_Tutorial.md)
|
||||
- The last release to support the Gigabyte server is **Aerial CUDA-Accelerated
|
||||
RAN 24-1**.
|
||||
|
||||
#### CPU allocation
|
||||
|
||||
@@ -67,21 +70,43 @@ of the FAPI 10.04 version of the SRS PDU, and RX_Beamforming PDU.
|
||||
|
||||
**Grace Hopper MGX ARS-111GL-NHR**
|
||||
|
||||
| Applicative Threads | Allocated CPUs |
|
||||
|------------------------|----------------|
|
||||
| PTP & PHC2SYS Services | 41 |
|
||||
| OAI `nr-softmodem` | 13-16 |
|
||||
| Applicative Threads | Allocated CPUs |
|
||||
|--------------------------------------|--------------------------------|
|
||||
| `workers_ul` | 4, 5 |
|
||||
| `workers_dl` | 6, 7, 8 |
|
||||
| `timer_thread_config` | 9 |
|
||||
| `message_thread_config` | 9 |
|
||||
| `pcap_shm_caching_cpu_core` | 10 |
|
||||
| `pcap_file_saving_cpu_core` | 10 |
|
||||
| `dpdk_thread` | 10 |
|
||||
| `ul_pcap_capture_thread_cpu_affinity`| 10 |
|
||||
| `pcap_logger_thread_cpu_affinity` | 10 |
|
||||
| `h2d_copy_thread_cpu_affinity` | 11 |
|
||||
| `fh_stats_dump_cpu_core` | -1 |
|
||||
| `pdump_client_thread` | -1 |
|
||||
| `debug_worker` | -1 |
|
||||
| `prometheus_thread` | -1 |
|
||||
| | |
|
||||
| OAI `nr-softmodem` | 13,14,15,16 |
|
||||
|
||||
### PTP configuration
|
||||
**Note**:
|
||||
- `-1` indicates that no explicit CPU pinning is applied and the thread
|
||||
is scheduled by the Linux kernel.
|
||||
- core 10 is a `low_priority_core` and it is shared by all low-priority threads.
|
||||
|
||||
1. You need to install the `linuxptp` debian package. It will install both ptp4l and phc2sys.
|
||||
#### PTP configuration
|
||||
|
||||
1. Install the `linuxptp` debian package. It will install both
|
||||
ptp4l and phc2sys.
|
||||
|
||||
```bash
|
||||
#Ubuntu
|
||||
sudo apt install linuxptp -y
|
||||
```
|
||||
|
||||
Once installed you can use this configuration file for ptp4l (`/etc/ptp4l.conf`). Here the clock domain is 24 so you can adjust it according to your PTP GM clock domain
|
||||
Once installed you can use this configuration file for ptp4l
|
||||
(`/etc/ptp4l.conf`). Here the clock domain is 24 so you can adjust it according
|
||||
to your PTP GM clock domain
|
||||
|
||||
```
|
||||
[global]
|
||||
@@ -94,25 +119,27 @@ tx_timestamp_timeout 30
|
||||
network_transport L2
|
||||
|
||||
```
|
||||
The service of ptp4l (`/lib/systemd/system/ptp4l.service`) should be configured
|
||||
as below:
|
||||
|
||||
The service of ptp4l (`/lib/systemd/system/ptp4l.service`) should be configured as below:
|
||||
```
|
||||
[Unit]
|
||||
Description=Precision Time Protocol (PTP) service
|
||||
[Unit] Description=Precision Time Protocol (PTP) service
|
||||
Documentation=man:ptp4l
|
||||
|
||||
[Service]
|
||||
Restart=always
|
||||
RestartSec=5s
|
||||
Type=simple
|
||||
ExecStart=taskset -c 41 /usr/sbin/ptp4l -f /etc/ptp.conf
|
||||
ExecStart=/usr/sbin/ptp4l -f /etc/ptp.conf
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
|
||||
```
|
||||
|
||||
and service of phc2sys (`/lib/systemd/system/phc2sys.service`) should be configured as below:
|
||||
and service of phc2sys (`/lib/systemd/system/phc2sys.service`) should be
|
||||
configured as below:
|
||||
|
||||
```
|
||||
[Unit]
|
||||
Description=Synchronize system clock or PTP hardware clock (PHC)
|
||||
@@ -131,10 +158,25 @@ ExecStart=/usr/sbin/phc2sys -a -r -n 24
|
||||
WantedBy=multi-user.target
|
||||
|
||||
```
|
||||
**Note**: As of release 25-3 there's no need to allocate a core for PTP.
|
||||
|
||||
## Prepare the L1
|
||||
|
||||
- Follow these
|
||||
[instructions](https://github.com/NVIDIA/aerial-cuda-accelerated-ran) to
|
||||
clone the `aerial-cuda-accelerated-ran` repository, pull and build the cuBB
|
||||
image.
|
||||
- The CMake flags we use to compile the L1 are:
|
||||
- `-DSCF_FAPI_10_04_SRS=ON` this flag must be used as of OAI tag `2025.w36`
|
||||
and this is due to the usage of the FAPI 10.04 version of the SRS PDU, and
|
||||
RX_Beamforming PDU.
|
||||
- `-DENABLE_CONFORMANCE_TM_PDSCH_PDCCH=OFF` this option should only be
|
||||
enabled when doing conformance testing with testmac.
|
||||
|
||||
## Build OAI gNB
|
||||
|
||||
If it's not already cloned, the first step is to clone OAI repository
|
||||
|
||||
```bash
|
||||
git clone https://gitlab.eurecom.fr/oai/openairinterface5g.git ~/openairinterface5g
|
||||
cd ~/openairinterface5g/
|
||||
@@ -142,65 +184,42 @@ cd ~/openairinterface5g/
|
||||
|
||||
### Get nvIPC sources from the L1 container
|
||||
|
||||
The library used for communication between L1 and L2 components is called nvIPC, and is developed by NVIDIA. It is not open-source and can't be freely distributed.
|
||||
In order to achieve this communication, we need to obtain the nvIPC source files from the L1 container (cuBB) and place it in the gNB project directory `~/openairinterface5g`.
|
||||
This allows us to build and install this library when building the L2 docker container.
|
||||
|
||||
Check whether your L1 container is running:
|
||||
```bash
|
||||
~$ docker container ls -a
|
||||
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
|
||||
a9681a0c4a10 14dca2002237 "/opt/nvidia/nvidia_…" 3 months ago Exited (137) 10 days ago cuBB
|
||||
|
||||
```
|
||||
If it is not running, you may start it and logging into the container by running the following:
|
||||
```bash
|
||||
~$ docker start cuBB
|
||||
cuBB
|
||||
~$ docker exec -it cuBB bash
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB#
|
||||
```
|
||||
|
||||
After logging into the container, you need to pack the nvIPC sources and copy them to the host ( the command creates a `tar.gz` file with the following name format: `nvipc_src.YYYY.MM.DD.tar.gz`)
|
||||
```bash
|
||||
~$ docker exec -it cuBB bash
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB# cd cuPHY-CP/gt_common_libs
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs#./pack_nvipc.sh
|
||||
nvipc_src.YYYY.MM.DD/
|
||||
...
|
||||
---------------------------------------------
|
||||
Pack nvipc source code finished:
|
||||
/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs/nvipc_src.YYYY.MM.DD.tar.gz
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs# sudo cp nvipc_src.yyyy.mm.dd.tar.gz /opt/cuBB/share/
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs# exit
|
||||
```
|
||||
|
||||
The file should now be present in the `~/openairinterface5g/ci-scripts/yaml_files/sa_gnb_aerial/` directory, from where it is moved into `~/openairinterface5g`
|
||||
```bash
|
||||
~$ mv ~/openairinterface5g/ci-scripts/yaml_files/sa_gnb_aerial/nvipc_src.YYYY.MM.DD.tar.gz ~/openairinterface5g/
|
||||
```
|
||||
|
||||
Alternatively, after running `./pack_nvipc.sh` , you can exit the container and copy `nvipc_src.YYYY.MM.DD.tar.gz` using `docker cp`
|
||||
The library used for communication between L1 and L2 components is called
|
||||
nvIPC, and is developed by NVIDIA. In order to achieve this communication, we
|
||||
need to obtain the nvIPC source files from the L1 container (cuBB) and place it
|
||||
in the gNB project directory `~/openairinterface5g`. This allows us to build
|
||||
and install this library when building the L2 docker image.
|
||||
|
||||
```bash
|
||||
~$ docker exec -it cuBB bash
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB# cd cuPHY-CP/gt_common_libs
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs#./pack_nvipc.sh
|
||||
nvipc_src.YYYY.MM.DD/
|
||||
...
|
||||
---------------------------------------------
|
||||
Pack nvipc source code finished:
|
||||
/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs/nvipc_src.YYYY.MM.DD.tar.gz
|
||||
aerial@c_aerial_aerial:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs# exit
|
||||
~$ docker cp nv-cubb:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs/nvipc_src.YYYY.MM.DD.tar.gz ~/openairinterface5g
|
||||
# Start interactive development container
|
||||
./cuPHY-CP/container/run_aerial.sh
|
||||
|
||||
# Pack the nvIPC sources and copy them to the host ( the command creates a `tar.gz` file with the following name format: `nvipc_src.YYYY.MM.DD.tar.gz`)
|
||||
aerial@c_aerial_oaicicd:/opt/nvidia/cuBB# cd cuPHY-CP/gt_common_libs
|
||||
aerial@c_aerial_oaicicd:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs#./pack_nvipc.sh
|
||||
nvipc_src.YYYY.MM.DD/ ... --------------------------------------------- Pack
|
||||
nvipc source code finished:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs/nvipc_src.YYYY.MM.DD.tar.gz
|
||||
```
|
||||
*Important note:* For using docker cp, make sure to copy the entire name of the created nvipc_src tar.gz file.
|
||||
|
||||
Keep the interactive development container open and in another terminal use
|
||||
`docker cp` to copy the library
|
||||
|
||||
```bash
|
||||
docker cp c_aerial_oaicicd:/opt/nvidia/cuBB/cuPHY-CP/gt_common_libs/nvipc_src.YYYY.MM.DD.tar.gz ~/openairinterface/
|
||||
```
|
||||
*Important note:* For using docker cp, make sure to
|
||||
copy the entire name of the created nvipc_src tar.gz file.
|
||||
|
||||
You can now exit the interactive development container.
|
||||
|
||||
With the nvIPC sources in the project directory, the L2 docker image can be built.
|
||||
|
||||
With the nvIPC sources in the project directory, the docker image can be built.
|
||||
|
||||
### Building OAI gNB docker image
|
||||
|
||||
In order to build the target image (`oai-gnb-aerial`), first you should build a common shared image (`ran-base`)
|
||||
In order to build the target image (`oai-gnb-aerial`), first you should build a
|
||||
common shared image (`ran-base`)
|
||||
|
||||
```bash
|
||||
~$ cd ~/openairinterface5g/
|
||||
~/openairinterface5g$ docker build . -f docker/Dockerfile.base.ubuntu --tag ran-base:latest
|
||||
@@ -210,52 +229,113 @@ In order to build the target image (`oai-gnb-aerial`), first you should build a
|
||||
|
||||
## Running the setup
|
||||
|
||||
In order to use Docker Compose to automatically start and stop the setup, we first need to create a pre-built image of L1 after compiling the L1 software and making the necessary adjustments to its configuration files.
|
||||
The process of preparing L1 is covered in NVIDIA's documentation and falls outside the scope of this document.
|
||||
|
||||
### Prepare the L1 image
|
||||
After preparing the L1 software, the container needs to be committed to create an image where L1 is ready for execution, which can later be referenced by a `docker-compose.yaml` file.
|
||||
|
||||
*Note:* The default L1 configuration file is `cuphycontroller_P5G_FXN_GH.yaml`, located in `/opt/nvidia/cuBB/cuPHY-CP/cuphycontroller/config/`.
|
||||
In this file the RU MAC address needs to be specified before commiting the image.
|
||||
|
||||
```bash
|
||||
~$ docker commit nv-cubb cubb-build:25-2.1
|
||||
~$ docker image ls
|
||||
..
|
||||
cubb-build 25-2.1 824156e0334c 2 weeks ago 23.9GB
|
||||
-..
|
||||
```
|
||||
|
||||
### Adapt the OAI-gNB configuration file to your system/workspace
|
||||
|
||||
Edit the sample OAI gNB configuration file and check following parameters:
|
||||
Edit the [OAI gNB configuration file](https://gitlab.eurecom.fr/oai/openairinterface5g/-/blob/develop/ci-scripts/conf_files/gnb-vnf.sa.band78.273prb.aerial.conf?ref_type=heads)
|
||||
and check the following parameters:
|
||||
|
||||
* `gNBs` section
|
||||
* The PLMN section shall match the one defined in the AMF
|
||||
* To calculate the `absoluteFrequencySSB` and `dl_absoluteFrequencyPointA`,
|
||||
please follow these
|
||||
[instructions](https://gitlab.eurecom.fr/oai/openairinterface5g/-/blob/develop/doc/gNB_frequency_setup.md)
|
||||
* `amf_ip_address` shall be the correct AMF IP address in your system
|
||||
* `GNB_IPV4_ADDRESS_FOR_NG_AMF` shall match your DU N2 interface IP address
|
||||
* `GNB_IPV4_ADDRESS_FOR_NGU` shall match your DU N3 interface IP address
|
||||
|
||||
The default amf_ip_address:ipv4 value is 192.168.70.132, when installing the CN5G following [this tutorial](https://gitlab.eurecom.fr/oai/openairinterface5g/-/blob/develop/doc/NR_SA_Tutorial_OAI_CN5G.md)
|
||||
Both 'GNB_IPV4_ADDRESS_FOR_NG_AMF' and 'GNB_IPV4_ADDRESS_FOR_NGU' need to be set to the IP address of the NIC referenced previously.
|
||||
The default amf_ip_address:ipv4 value is 192.168.70.132, when installing the
|
||||
CN5G following [this
|
||||
tutorial](https://gitlab.eurecom.fr/oai/openairinterface5g/-/blob/develop/doc/NR_SA_Tutorial_OAI_CN5G.md)
|
||||
Both `GNB_IPV4_ADDRESS_FOR_NG_AMF` and `GNB_IPV4_ADDRESS_FOR_NGU` need to be
|
||||
set to the IP address of the NIC referenced previously.
|
||||
|
||||
**Note**: If the Core Network is running on the same server, 3 cores should be
|
||||
allocated to it. 2 for the UPF and 1 for the all the remaining services as shown
|
||||
below.
|
||||
|
||||
### Running docker compose
|
||||
#### Aerial L1 entrypoint script
|
||||
The `aerial_l1_entrypoint` script is used by the L1 container to start the L1 software and is called in the Docker Compose file.
|
||||
It begins by setting up environment variables, restarting NVIDIA MPS, and finally running `cuphycontroller_scf`.
|
||||
```patch
|
||||
diff --git a/docker-compose/docker-compose-basic-nrf.yaml b/docker-compose/docker-compose-basic-nrf.yaml
|
||||
index 7fbefc9..d5ef964 100644
|
||||
--- a/docker-compose/docker-compose-basic-nrf.yaml
|
||||
+++ b/docker-compose/docker-compose-basic-nrf.yaml
|
||||
@@ -28,6 +28,7 @@ services:
|
||||
- 8080/tcp
|
||||
volumes:
|
||||
- ./conf/basic_nrf_config.yaml:/openair-udr/etc/config.yaml
|
||||
+ cpuset: "15"
|
||||
environment:
|
||||
- TZ=Europe/Paris
|
||||
depends_on:
|
||||
```
|
||||
|
||||
The L1 software is executed with an argument that specifies which configuration file to use. If not modified, the default argument is set to `P5G_FXN_GH`.
|
||||
### Aerial L1 entrypoint script
|
||||
|
||||
After building the gNB image, and preparing the configuration file, the setup can be run with the following command:
|
||||
The `aerial_l1_entrypoint` script is used by the L1 container to start the L1
|
||||
software and is mounted in the Docker Compose file. It begins by setting up
|
||||
environment variables, restarting NVIDIA MPS, and finally running
|
||||
`cuphycontroller_scf`.
|
||||
|
||||
The L1 software is executed with an argument that specifies which configuration
|
||||
file to use. If not modified, the default argument is set to `P5G_WNC_GH`.
|
||||
|
||||
### Aerial L1 configuration
|
||||
|
||||
```bash
|
||||
cd ~/aerial-cuda-accelerated-ran/cuPHY-CP/cuphycontroller/config/
|
||||
```
|
||||
|
||||
Choose the configuration file that matches your setup and make the necessary
|
||||
changes. We currently use `cuphycontroller_P5G_WNC_GH.yaml`.
|
||||
|
||||
Make sure that the following parameters are modified:
|
||||
|
||||
```
|
||||
dst_mac_addr:
|
||||
nic:
|
||||
vlan:
|
||||
```
|
||||
|
||||
### Docker compose
|
||||
|
||||
We recommend the user to apply the patch below for `docker-compose.yaml`.
|
||||
```patch
|
||||
diff --git a/ci-scripts/yaml_files/sa_gnb_aerial/docker-compose.yaml b/ci-scripts/yaml_files/sa_gnb_aerial/docker-compose.yaml
|
||||
index 985fe9a6a3..0774d826ac 100644
|
||||
--- a/ci-scripts/yaml_files/sa_gnb_aerial/docker-compose.yaml
|
||||
+++ b/ci-scripts/yaml_files/sa_gnb_aerial/docker-compose.yaml
|
||||
@@ -15,10 +15,10 @@ services:
|
||||
stdin_open: true
|
||||
tty: true
|
||||
volumes:
|
||||
+ - ~/aerial-cuda-accelerated-ran:/opt/nvidia/cuBB/
|
||||
- /lib/modules:/lib/modules
|
||||
- /dev/hugepages:/dev/hugepages
|
||||
- /usr/src:/usr/src
|
||||
- - ./cuphycontroller_P5G_WNC_GH.yaml:/opt/nvidia/cuBB/cuPHY-CP/cuphycontroller/config/cuphycontroller_P5G_WNC_GH.yaml
|
||||
- ./aerial_l1_entrypoint.sh:/opt/nvidia/cuBB/aerial_l1_entrypoint.sh
|
||||
- /var/log/aerial:/var/log/aerial
|
||||
- ../../../cmake_targets/share:/opt/cuBB/share
|
||||
```
|
||||
|
||||
By applying this change, it would easier for the user to modify the L1 code or
|
||||
configuration files directly from the `aerial-cuda-accelerated-ran` repository.
|
||||
|
||||
`ci-scripts/yaml_files/sa_gnb_aerial/docker-compose.yaml` is tailored for our
|
||||
CI.
|
||||
We copy the `aerial-cuda-accelerated-ran` repository inside the cuBB
|
||||
docker image using `docker cp` and commit the changes using `docker commit`.
|
||||
We mount the `cuphycontroller_P5G_WNC_GH.yaml` in the `nv-cubb` volumes so
|
||||
that it would override some parameters depending on the setup being run on CI.
|
||||
|
||||
After building the gNB image, and preparing the configuration file, the setup
|
||||
can be run with the following command:
|
||||
|
||||
```bash
|
||||
cd ci-scripts/yaml_files/sa_gnb_aerial/
|
||||
docker compose up -d
|
||||
|
||||
```
|
||||
This will start both containers, beginning with `nv-cubb`, and `oai-gnb-aerial` will start only after it is ready.
|
||||
This will start both containers, beginning with `nv-cubb`, and
|
||||
`oai-gnb-aerial` will start only after it is ready.
|
||||
|
||||
The logs can be followed using these commands:
|
||||
|
||||
@@ -263,8 +343,13 @@ The logs can be followed using these commands:
|
||||
docker logs -f oai-gnb-aerial
|
||||
docker logs -f nv-cubb
|
||||
```
|
||||
|
||||
#### Running with multiple L2s
|
||||
One L1 instance can support multiple L2 instances. See also the [aerial documentation](https://developer.nvidia.com/docs/gputelecom/aerial-sdk/text/cubb_quickstart/running_cubb-end-to-end.html#run-multiple-l2-instances-with-single-l1-instance) for more details.
|
||||
|
||||
One L1 instance can support multiple L2 instances. See also
|
||||
the [aerial
|
||||
documentation](https://docs.nvidia.com/aerial/cuda-accelerated-ran/latest/quickstart_guide/running_cubb-end-to-end.html#run-multiple-l2-instances-with-single-l1-instance)
|
||||
for more details.
|
||||
|
||||
In OAI the shared memory prefix must be configured in the configuration file.
|
||||
|
||||
@@ -274,11 +359,12 @@ In OAI the shared memory prefix must be configured in the configuration file.
|
||||
```
|
||||
|
||||
|
||||
### Stopping the setup
|
||||
#### Stopping the setup
|
||||
|
||||
Run the following command to stop and remove both containers, leaving the
|
||||
system ready to be restarted later:
|
||||
|
||||
Run the following command to stop and remove both containers, leaving the system ready to be restarted later:
|
||||
```bash
|
||||
cd ci-scripts/yaml_files/sa_gnb_aerial/
|
||||
docker compose down
|
||||
|
||||
```
|
||||
|
||||
@@ -3,7 +3,6 @@ Active_gNBs = ( "gNB-OAI");
|
||||
Asn1_verbosity = "none";
|
||||
|
||||
nfapi = "AERIAL";
|
||||
pdcp-drop = 1;
|
||||
|
||||
gNBs =
|
||||
(
|
||||
@@ -14,49 +13,33 @@ gNBs =
|
||||
|
||||
// Tracking area code, 0x0000 and 0xfffe are reserved values
|
||||
tracking_area_code = 1;
|
||||
plmn_list = ({
|
||||
mcc = 001;
|
||||
mnc = 01;
|
||||
mnc_length = 2;
|
||||
snssaiList = (
|
||||
{
|
||||
sst = 1;
|
||||
}
|
||||
);
|
||||
});
|
||||
plmn_list = ({ mcc = 208; mnc = 99; mnc_length = 2; snssaiList = ({ sst = 1; }) });
|
||||
|
||||
nr_cellid = 51L;
|
||||
nr_cellid = 12345678L;
|
||||
|
||||
////////// Physical parameters:
|
||||
|
||||
pdsch_AntennaPorts_XP = 2;
|
||||
#pdsch_AntennaPorts_N1 = 2; #Uncomment for 4 layers
|
||||
pdsch_AntennaPorts_N1 = 2;
|
||||
pusch_AntennaPorts = 2;
|
||||
do_CSIRS = 1;
|
||||
do_SRS = 0;
|
||||
min_rxtxtime = 3;
|
||||
do_SRS = 1;
|
||||
min_rxtxtime = 2;
|
||||
|
||||
servingCellConfigCommon = (
|
||||
{
|
||||
#spCellConfigCommon
|
||||
|
||||
physCellId = 51;
|
||||
physCellId = 0;
|
||||
|
||||
# downlinkConfigCommon
|
||||
#frequencyInfoDL
|
||||
# this is 3300.24 + 134*12*30e3 = 3348.48 MHz (5G NR GSCN: 7741)
|
||||
absoluteFrequencySSB = 649920;
|
||||
#652860; #should be 649920
|
||||
#647520;
|
||||
#647540;
|
||||
#649920;
|
||||
#650208;
|
||||
#647540;
|
||||
dl_frequencyBand = 78;
|
||||
# this is 3300.24 MHz
|
||||
dl_absoluteFrequencyPointA = 646724;
|
||||
#649104;
|
||||
#646724;
|
||||
# center frequency = 3350.01 MHz
|
||||
# selected SSB frequency = 3349.92 MHz
|
||||
absoluteFrequencySSB = 653376;
|
||||
dl_frequencyBand = 77;
|
||||
# frequency point A = 3300.87 MHz
|
||||
dl_absoluteFrequencyPointA = 650056;
|
||||
#scs-SpecificCarrierList
|
||||
dl_offstToCarrier = 0;
|
||||
# subcarrierSpacing
|
||||
@@ -77,7 +60,7 @@ gNBs =
|
||||
|
||||
#uplinkConfigCommon
|
||||
#frequencyInfoUL
|
||||
ul_frequencyBand = 78;
|
||||
ul_frequencyBand = 77;
|
||||
#scs-SpecificCarrierList
|
||||
ul_offstToCarrier = 0;
|
||||
# subcarrierSpacing
|
||||
@@ -157,13 +140,13 @@ gNBs =
|
||||
# pattern1
|
||||
# dl_UL_TransmissionPeriodicity
|
||||
# 0=ms0p5, 1=ms0p625, 2=ms1, 3=ms1p25, 4=ms2, 5=ms2p5, 6=ms5, 7=ms10
|
||||
dl_UL_TransmissionPeriodicity = 6;
|
||||
nrofDownlinkSlots = 6;
|
||||
nrofDownlinkSymbols = 10;
|
||||
nrofUplinkSlots = 3;
|
||||
dl_UL_TransmissionPeriodicity = 6; #5;
|
||||
nrofDownlinkSlots = 6; #3;
|
||||
nrofDownlinkSymbols = 10; #6;
|
||||
nrofUplinkSlots = 3; #1;
|
||||
nrofUplinkSymbols = 0;
|
||||
|
||||
ssPBCH_BlockPower = -34;
|
||||
ssPBCH_BlockPower = -15;
|
||||
}
|
||||
|
||||
);
|
||||
@@ -179,12 +162,13 @@ gNBs =
|
||||
|
||||
|
||||
////////// AMF parameters:
|
||||
amf_ip_address = ({ ipv4 = "192.168.70.132"; });
|
||||
amf_ip_address = ({ ipv4 = "172.21.6.5"; });
|
||||
|
||||
|
||||
NETWORK_INTERFACES :
|
||||
{
|
||||
GNB_IPV4_ADDRESS_FOR_NG_AMF = "192.168.70.129/24";
|
||||
GNB_IPV4_ADDRESS_FOR_NGU = "192.168.70.129/24";
|
||||
GNB_IPV4_ADDRESS_FOR_NG_AMF = "172.21.8.120";
|
||||
GNB_IPV4_ADDRESS_FOR_NGU = "172.21.8.120";
|
||||
GNB_PORT_FOR_S1U = 2152; # Spec 2152
|
||||
};
|
||||
|
||||
@@ -193,25 +177,19 @@ gNBs =
|
||||
|
||||
MACRLCs = (
|
||||
{
|
||||
num_cc = 1;
|
||||
|
||||
tr_s_preference = "aerial";
|
||||
tr_s_shm_prefix = "nvipc";
|
||||
tr_s_poll_core = 10;
|
||||
remote_s_address = "127.0.0.1"; // pnf addr [!]
|
||||
local_s_address = "127.0.0.2"; // vnf addr
|
||||
local_s_portc = 50001; // vnf p5 port
|
||||
remote_s_portc = 50000; // pnf p5 port [!]
|
||||
local_s_portd = 50011; // vnf p7 port [!]
|
||||
remote_s_portd = 50010; // pnf p7 port [!]
|
||||
|
||||
tr_n_preference = "local_RRC";
|
||||
pusch_FailureThres = 10;
|
||||
pusch_TargetSNRx10 = 280; # 150;
|
||||
pucch_TargetSNRx10 = 100; #200;
|
||||
ulsch_max_frame_inactivity = 10;
|
||||
dl_max_mcs = 25;
|
||||
ul_max_mcs = 25;
|
||||
num_cc = 1;
|
||||
remote_s_address = "127.0.0.1"; // pnf addr [!]
|
||||
local_s_address = "127.0.0.2"; // vnf addr
|
||||
local_s_portc = 50001; // vnf p5 port
|
||||
remote_s_portc = 50000; // pnf p5 port [!]
|
||||
local_s_portd = 50011; // vnf p7 port [!]
|
||||
remote_s_portd = 50010; // pnf p7 port [!]
|
||||
tr_s_preference = "aerial";
|
||||
tr_n_preference = "local_RRC";
|
||||
pusch_TargetSNRx10 = 280; # 150;
|
||||
pucch_TargetSNRx10 = 200; #200;
|
||||
dl_max_mcs = 28;
|
||||
ul_max_mcs = 28;
|
||||
}
|
||||
);
|
||||
|
||||
@@ -235,13 +213,13 @@ security = {
|
||||
|
||||
log_config :
|
||||
{
|
||||
global_log_level ="info";
|
||||
hw_log_level ="info";
|
||||
phy_log_level ="info";
|
||||
mac_log_level ="info";
|
||||
rlc_log_level ="info";
|
||||
pdcp_log_level ="info";
|
||||
rrc_log_level ="info";
|
||||
ngap_log_level ="debug";
|
||||
f1ap_log_level ="debug";
|
||||
global_log_level ="info";
|
||||
hw_log_level ="info";
|
||||
phy_log_level ="info";
|
||||
mac_log_level ="info";
|
||||
rlc_log_level ="info";
|
||||
pdcp_log_level ="info";
|
||||
rrc_log_level ="info";
|
||||
ngap_log_level ="debug";
|
||||
f1ap_log_level ="debug";
|
||||
};
|
||||
|
||||
Reference in New Issue
Block a user