- Introduce "Run_Physim" function for running ldpctest (with CUDA) and
nr_dlsim/nr_ulsim (with T2) in RAN-gNB-N300-Timing-Phytest-LDPC test
pipeline.
- Create "cls_analysis.py" and introduce "analyze_physim" for
log analysis of physim tests.
- Define patterns to be searched in the physim logs.
- Extract and print information about total gNB RX/TX PHY processing time
from nr_ulsim/nr_dlsim logs.
- Remove "cls_physim.py" as it is not used anymore, cleanup "main.py".
Fix Regression 4G
- Fix various bugs and/or regressions in 4G code
- Also, the CI does not test RFsim 4G with --sanitize, enables this to
detect problems.
CI: Update RAN-gNB-N300-Timing-Phytest-LDPC test cases
- update enc/decoder tests in RAN-gNB-N300-Timing-Phytest-LDPC - test
only for given SNR value (check of the test results to be added in the
following MR)
- add cores to Tpool in the nr_dlsim test cases, currently we test with
only one core
- always execute all the nr_ulsim/nr_dlsim tests, even if one of them
fails
- add new nr_dlsim test cases - test with 4 antennas, 2 layers
Set a maximum SNR value using the "-S" option to ensure that nr_dlsim
or nr_ulsim is executed only for a given SNR. This approach allows us
to verify the success of the encoding/decoding process at the specified
SNR. Check if the test succeeds is not yet implemented (currently we
only retrieve an information about encoding/decoding processing time).
To be implemented in the separate MR.
Always execute all the nr_dlsim/nr_ulsim tests even if one of them
fails. Each test takes around 5s, so we can execute them all to get
results for all the test scenarios.
Modify the UL/DL UDP iperf test cases to use a higher requested bitrate
for the scenario with 100 MHz bandwidth in the SA-2x2 pipeline. Adjust
gNB config file to allow for higher UL throughput.
In this pipeline, we frequently see losses of a single packet; we did
not find the true reason yet.
Accept 5% losses, assuming that serious packet loss would be catched by
(1) higher ping losses (2) iperf would be affected.
Use a script, which can be tested independently of CI code (by running
it on the host on which it will be used), and print the directory that
has been prepared in the HTML. Also, in the description, use the
infinitive/imperative(?) of the verb to harmonize with other steps.
The BuildeNB steps either does things that are already implemented
(created workspace), or things that we don't use (separate build_wait),
and is generally quite convoluted when all it does is calling build_oai.
Reimplement by reusing Create_Workspace, and make build_oai in a single
step. To clean up, make a new module in which this function does not
need a class instantiation. Instead, we give all necessary parameters
directly.
After the previous commit, the CI will always do an undeployment step
even if the CI failed. Hence, these XMLs are not necessary anymore. Some
XMLs are updated to do what their "cleanup XML" counterparts did, such
as removing additional images.
Create_Workspace is used used in XML files instead of directly being
executed in DeployObject(). This can be problematic if we deploy
multiple services on the same host, since a previous workspace will be
deleted. Also, it removes futile git clones.
There are other XML steps (CppCheckAnalysis, LicenceAndFormattingCheck,
BuildImage, BuildProxy, BuildClusterImage) that implicitly called
Create_Workspace. Those calls have been removed and care has been taken
to insert the corresponding Create_Workspace steps in the XML.
- Modify CN deployment and termination functions to include namespace and path parameters.
- Update `Module_UE` class with new attributes for namespace and CN path.
- Integrate `cnID` for OC CN deployment and termination in `epc.py`.
- Extract `cn_id` from XML configurations for CN operations.
- Update XML files to include `cn_id` tag for 5G Core initialization and
termination. (Used in OAIUE and AW2S pipeline, for OC CN deployment. This change
will not affect other CN deployments.)
Jaroslava Fiedlerova