Generating Test Vectors using Matlab 5GModel

Accelerated Computing Aerial Forum
1

Trying to generate GPU input vectors I get the following running the matlab command line

runRegression({‘TestVector’}, {‘allChannels’},‘compact’, [0, 1] )

Run genCfgTemplate …
Test runSim for DL …
Read config from cfg_template_DL.yaml

Channel: ssb pdcch pdsch csirs prach pucch pusch srs

Alloc: 1 1 1 1 0 0 0 0

==> PASS

Test runSim for UL …
Read config from cfg_template_UL.yaml

Channel: ssb pdcch pdsch csirs prach pucch pusch srs

Alloc: 0 0 0 0 1 1 1 1

UE # 0: PUSCH TB detected
RO # 0: 1 Prmb detected
UE # 0: PUCCH UCI detected
==> PASS

Test runSim_multiSlot …
Read config from cfg_dl_s0.yaml

Read config from cfg_dl_s1.yaml

Read config from cfg_ul_s1.yaml

Read config from cfg_ul_s2.yaml

Read config from ul_harq2_tx0.yaml

Read config from cfg_ul_s4.yaml

Read config from ul_harq2_tx1.yaml
‘nrPDCCHDecode’ requires 5G Toolbox.

Error in detPdcch>detPdcch_cuphy (line 253)
dcicw = nrPDCCHDecode(x(:),dmrsId,rntiBits);

Error in detPdcch (line 97)
[pdcch_payload] = detPdcch_cuphy(PdcchParamsList, Xtf);

Error in UEreceiver>UeDlPhyDetSig (line 587)
pdcch_payload_list = detPdcch(pdcchPduList, table, carrier, Xtf);

Error in UEreceiver (line 81)
[Phy, FAPIpdu] = UeDlPhyDetSig(Phy, FAPIpdu, rxSamp, rxSamp_noNoise);

Error in nrSimulator (line 308)
UE{idxUE} = UEreceiver(UE{idxUE}, rxSamp, rxSamp_noNoise);

Error in runSim_multiSlot (line 109)
[SysParList, UE, gNB] = nrSimulator(SysParList);

Error in runRegression (line 290)
errFlag = runSim_multiSlot(‘cfg_list.yaml’, ‘cfg_list’);

With ref to the document here e.g.
running-aerial-cuphy.pdf

I understand running this “All the cuPHY test vectors are generated and stored under nr_matlab/GPU_test_input .”

Can you please confirm how to fix the errors above so that I can generate the GPU test input.

2

I also get errors running only PUSCH e.g.

runRegression({‘TestVector’},{‘pusch’}, ‘full’)

Error using initChan
Unrecognized function or variable ‘nrTDLChannel’.

Error in nrSimulator (line 126)
Chan_UL{idxUE} = initChan(SysPar, idxUE, ‘UL’);

Error in testCompGenTV_pusch (line 961)
parfor n = 1:NallTest

Error in runRegression (line 439)
[nTC_pusch, err_pusch, nTV_pusch, detErr_pusch] = testCompGenTV_pusch(caseSet, compTvMode, subSetMod, relNum);

3

Example running UL rate match with h5 generated from the above push vector command line

cuPHY/examples/pusch_rateMatch$ ./cuphy_ex_pusch_rateMatch -i ./TVnr_7018_PUSCH_gNB_CUPHY_s0p0.h5
AERIAL_LOG_PATH set to /home/sbaker/AERIAL_LOG
Log file set to /home/sbaker/AERIAL_LOG/pusch_rateMatch.log
10:47:51.910299 WRN 1161612 0 [NVLOG.CPP] Using /home/sbaker/zodiacArtemis2/zodiac/trunk/Prototypes/Artemis2/cuda_test_3/cuPHY/nvlog/config/nvlog_config.yaml for nvlog configuration
nUes 1, nUeGrps 1
nMaxCbsPerTb 1 num_CBs 1
uciOnPuschFlag OFF
nMaxTbs 1 nMaxCbsPerTb 1 maxBytesRateMatch 52224
10:47:52.024385 WRN 1161612 0 [CUPHY.PUSCH_RX] LDPC throughput mode disabled
10:47:52.061376 WRN 1161612 0 [CUPHY.PUSCH_RX] detected 0 mismatches out of 416 rateMatchedLLRs
Exiting bg_fmtlog_collector - log queue ever was full: 0

4

Hi @stuart.baker ,

5G Model requires some toolboxes of MATLAB, e.g. 5G Toolbox.

Aerial container includes compiled version of 5G model, which does not require a MATLAB license. You can follow the steps in Using Aerial Python mcore Module to generate the test vectors.

Thank you.

5

This error is also due to the 5G Toolbox. You should not see this issue if Aerial mcore module is used to generate the TVs.

    case 'TDLA30-5-Low' 
        if strcmp(Chan.model_source, 'MATLAB5Gtoolbox')
            tdl = nrTDLChannel; % use MATLAB 5G toolbox
6

@stuart.baker

Please use the following command to use the TV for the whole push pipeline.

cuPHY/build/examples/pusch_rx_multi_pipe/cuphy_ex_pusch_rx_multi_pipe -i ~/<tv_name>.h5 -m 1

The test vectors are not meant to be used with individual PUSCH (or any other PHY channel) components.

Thank you.

7

Understood thank you for your replies we can close this issue.

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8

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