Cedric Roux
56c66c09aa
Pre-ci test passed git-svn-id: http://svn.eurecom.fr/openair4G/trunk@4000 818b1a75-f10b-46b9-bf7c-635c3b92a50f
87 lines
3.4 KiB
Matlab
87 lines
3.4 KiB
Matlab
function r = read_results(f)
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%r = read_results(f)
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%
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%Reads colabsim simulation results from file f.
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%
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%Arguments:
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% f - results file (produced with -r option to colabsim)
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%
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%Returns:
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% r - results structure with the following fields:
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% n_relays: number of relays
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% channel_model: the used channel model as a string
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% n_tests: the number of tests done (each with different SNR)
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% n_pdu: the number of sent MAC PDUs for each test
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% n_harq: the maximum number of HARQ rounds
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% tests: struct array of length n_tests containing the following fields:
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% snr_hop{1,2}: SNRs for each link in hop {1,2}
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% n_frames_hop{1,2}: number of transmitted LTE frames in hop {1,2}
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% n_bits_hop{1,2}: number of correctly received information bits in hop {1,2}
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% n_pdu_success_hop{1,2}: number of correctly received MAC PDUs in hop {1,2}
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% ber_hop1: vector of average raw BER at relays
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% ber_hop2: average raw BER at destination CH
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% n_harq_tries_hop{1,2}: number of transmitted MAC PDUs in each HARQ round in hop {1,2}
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% n_harq_success_hop{1,2}: number of successfully decoded MAC PDUs in each HARQ round in hop {1,2}
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% mcs_hop{1,2}: MCS used in each transmission in hop {1,2}
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% tbs_hop{1,2}: TBS used in each transmission in hop {1,2}
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% n_rb_hop{1,2}: number of resource blocks used in each transmission in hop {1,2}
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% n_transmissions: distribution of the number of required transmissions in each hop for the
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% successfully decoded MAC PDUs, n_transmissions(n1,n2) is the number of successfully decoded
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% MAC PDUs that required n1 transmissions in hop 1 and n2 transmissions in hop 2
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% relay_activity: number of transmissions with different cooperation level of relays,
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% for n_relays==2 there are four values: [0 MR1 MR2 MR1+MR2], this is for all transmissions
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% over hop 2, even if the PDU was not finally received at the destination CH
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fid = fopen(f, 'r');
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A = mread(fid, 1, 5);
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r.n_relays = A(1);
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r.channel_model = parse_channel(A(2));
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r.n_tests = A(3);
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r.n_pdu = A(4);
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r.n_harq = A(5);
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n_relays = A(1);
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n_tests = A(3);
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n_pdu = A(4);
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n_harq = A(5);
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test_row = 1;
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for test = 1:n_tests
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r.tests(test).snr_hop1 = mread(fid, 1, n_relays);
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r.tests(test).snr_hop2 = mread(fid, 1, n_relays);
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A = mread(fid, 1, 6);
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r.tests(test).n_frames_hop1 = A(1);
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r.tests(test).n_frames_hop2 = A(2);
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r.tests(test).n_bits_hop1 = A(3);
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r.tests(test).n_bits_hop2 = A(4);
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r.tests(test).n_pdu_success_hop1 = A(5);
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r.tests(test).n_pdu_success_hop2 = A(6);
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A = mread(fid, 1, n_relays+1);
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r.tests(test).ber_hop1 = A(1:end-1);
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r.tests(test).ber_hop2 = A(end);
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r.tests(test).n_harq_tries_hop1 = mread(fid, 1, n_harq);
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r.tests(test).n_harq_success_hop1 = mread(fid, 1, n_harq);
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r.tests(test).n_harq_tries_hop2 = mread(fid, 1, n_harq);
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r.tests(test).n_harq_success_hop2 = mread(fid, 1, n_harq);
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r.tests(test).mcs_hop1 = mread(fid, n_pdu, n_harq);
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r.tests(test).mcs_hop2 = mread(fid, n_pdu, n_harq);
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r.tests(test).tbs_hop1 = mread(fid, n_pdu, n_harq);
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r.tests(test).tbs_hop2 = mread(fid, n_pdu, n_harq);
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r.tests(test).n_rb_hop1 = mread(fid, n_pdu, n_harq);
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r.tests(test).n_rb_hop2 = mread(fid, n_pdu, n_harq);
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r.tests(test).n_transmissions = mread(fid, n_harq, n_harq);
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r.tests(test).relay_activity = mread(fid, 1, 2^n_relays);
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end
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fclose(fid);
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function s = parse_channel(c)
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s = sprintf('%d', c);
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function A = mread(fid, nrow, ncol)
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A = fscanf(fid, '%f', [ncol,nrow])';
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