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128 lines
4.5 KiB
Matlab
128 lines
4.5 KiB
Matlab
%% PDSCH decoding based on RMC channels
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%% Cell-Wide Settings
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% A structure |enbConfig| is used to configure the eNodeB.
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%clear
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recordedSignal=[];
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Npackets = 1;
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SNR_values = linspace(15,20,4);
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%% Choose RMC
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[waveform,rgrid,rmccFgOut] = lteRMCDLTool('R.9',[1;0;0;1]);
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waveform = sum(waveform,2);
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if ~isempty(recordedSignal)
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rmccFgOut = struct('NCellID',1,'CellRefP',1,'CFI',1,'NDLRB',15,'SamplingRate',3.84e6,'Nfft',256,'DuplexMode','FDD','CyclicPrefix','Normal');
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rmccFgOut.PDSCH.RNTI = 1234;
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rmccFgOut.PDSCH.PRBSet = repmat(transpose(0:rmccFgOut.NDLRB-1),1,2);
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rmccFgOut.PDSCH.TxScheme = 'Port0';
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rmccFgOut.PDSCH.NLayers = 1;
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rmccFgOut.PDSCH.NTurboDecIts = 5;
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rmccFgOut.PDSCH.Modulation = {'64QAM'};
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rmccFgOut.PDSCH.TrBlkSizes = [0 5992*ones(1,4) 0 5992*ones(1,4)];
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rmccFgOut.PDSCH.RV = 0;
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end
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flen=rmccFgOut.SamplingRate/1000;
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Nsf = 9;
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%% Setup Fading channel model
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cfg.Seed = 8; % Random channel seed
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cfg.NRxAnts = 1; % 1 receive antenna
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cfg.DelayProfile = 'EVA'; % EVA delay spread
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cfg.DopplerFreq = 5; % 120Hz Doppler frequency
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cfg.MIMOCorrelation = 'Low'; % Low (no) MIMO correlation
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cfg.InitTime = 0; % Initialize at time zero
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cfg.NTerms = 16; % Oscillators used in fading model
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cfg.ModelType = 'GMEDS'; % Rayleigh fading model type
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cfg.InitPhase = 'Random'; % Random initial phases
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cfg.NormalizePathGains = 'On'; % Normalize delay profile power
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cfg.NormalizeTxAnts = 'On'; % Normalize for transmit antennas
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cfg.SamplingRate = rmccFgOut.SamplingRate;
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% Setup channel equalizer
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cec.PilotAverage = 'UserDefined'; % Type of pilot averaging
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cec.FreqWindow = 9; % Frequency window size
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cec.TimeWindow = 9; % Time window size
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cec.InterpType = 'linear'; % 2D interpolation type
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cec.InterpWindow = 'Centered'; % Interpolation window type
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cec.InterpWinSize = 1; % Interpolation window size
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addpath('../../debug/lte/phy/lib/phch/test')
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decoded = zeros(size(SNR_values));
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decoded_liblte = zeros(size(SNR_values));
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for snr_idx=1:length(SNR_values)
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SNRdB = SNR_values(snr_idx);
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SNR = 10^(SNRdB/10); % Linear SNR
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N0 = 1/(sqrt(2.0*rmccFgOut.CellRefP*double(rmccFgOut.Nfft))*SNR);
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for i=1:Npackets
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if isempty(recordedSignal)
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%% Fading
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rxWaveform = lteFadingChannel(cfg,waveform);
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%rxWaveform = waveform;
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%% Noise Addition
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noise = N0*complex(randn(size(rxWaveform)), randn(size(rxWaveform))); % Generate noise
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rxWaveform = rxWaveform + noise;
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else
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rxWaveform = recordedSignal;
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end
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%% Demodulate
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frame_rx = lteOFDMDemodulate(rmccFgOut, rxWaveform);
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for sf_idx=0:Nsf
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subframe_waveform = rxWaveform(sf_idx*flen+1:(sf_idx+1)*flen);
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subframe_rx=frame_rx(:,sf_idx*14+1:(sf_idx+1)*14);
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rmccFgOut.NSubframe=sf_idx;
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rmccFgOut.TotSubframes=1;
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% Perform channel estimation
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[hest, nest] = lteDLChannelEstimate(rmccFgOut, cec, subframe_rx);
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[cws,symbols,pdschSymbols,hestCH,indices] = ltePDSCHDecode2(rmccFgOut,rmccFgOut.PDSCH,subframe_rx,hest,nest);
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[trblkout,blkcrc,dstate] = lteDLSCHDecode(rmccFgOut,rmccFgOut.PDSCH, ...
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rmccFgOut.PDSCH.TrBlkSizes(sf_idx+1),cws);
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decoded(snr_idx) = decoded(snr_idx) + ~blkcrc;
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%% Same with srsLTE
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if (rmccFgOut.PDSCH.TrBlkSizes(sf_idx+1) > 0)
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[dec2, data, pdschRx, pdschSymbols2, deb] = liblte_pdsch(rmccFgOut, rmccFgOut.PDSCH, ...
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rmccFgOut.PDSCH.TrBlkSizes(sf_idx+1), ...
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subframe_waveform);
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else
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dec2 = 1;
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end
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decoded_liblte(snr_idx) = decoded_liblte(snr_idx)+dec2;
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end
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if ~isempty(recordedSignal)
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recordedSignal = recordedSignal(flen*10+1:end);
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end
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end
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fprintf('SNR: %.1f. Decoded: %d-%d\n',SNRdB, decoded(snr_idx), decoded_liblte(snr_idx))
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end
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if (length(SNR_values)>1)
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semilogy(SNR_values,1-decoded/Npackets/(Nsf+1),'bo-',...
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SNR_values,1-decoded_liblte/Npackets/(Nsf+1), 'ro-')
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grid on;
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legend('Matlab','srsLTE')
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xlabel('SNR (dB)')
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ylabel('BLER')
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axis([min(SNR_values) max(SNR_values) 1/Npackets/(Nsf+1) 1])
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else
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disp(decoded)
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disp(decoded_liblte)
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end
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