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129 lines
4.5 KiB
Matlab

%% PDSCH decoding based on RMC channels
%% Cell-Wide Settings
% A structure |enbConfig| is used to configure the eNodeB.
%clear
recordedSignal=[];
Npackets = 4;
SNR_values = linspace(10,20,4);
%% Choose RMC
[waveform,rgrid,rmccFgOut] = lteRMCDLTool('R.7',[1;0;0;1]);
waveform = sum(waveform,2);
if ~isempty(recordedSignal)
rmccFgOut = struct('NCellID',1,'CellRefP',1,'CFI',1,'NDLRB',15,'SamplingRate',3.84e6,'Nfft',256,'DuplexMode','FDD','CyclicPrefix','Normal');
rmccFgOut.PDSCH.RNTI = 1234;
rmccFgOut.PDSCH.PRBSet = repmat(transpose(0:rmccFgOut.NDLRB-1),1,2);
rmccFgOut.PDSCH.TxScheme = 'Port0';
rmccFgOut.PDSCH.NLayers = 1;
rmccFgOut.PDSCH.NTurboDecIts = 5;
rmccFgOut.PDSCH.Modulation = {'64QAM'};
rmccFgOut.PDSCH.TrBlkSizes = [0 5992*ones(1,4) 0 5992*ones(1,4)];
rmccFgOut.PDSCH.RV = 0;
end
flen=rmccFgOut.SamplingRate/1000;
Nsf = 9;
%% Setup Fading channel model
cfg.Seed = 8; % Random channel seed
cfg.NRxAnts = 1; % 1 receive antenna
cfg.DelayProfile = 'EVA'; % EVA delay spread
cfg.DopplerFreq = 5; % 120Hz Doppler frequency
cfg.MIMOCorrelation = 'Low'; % Low (no) MIMO correlation
cfg.InitTime = 0; % Initialize at time zero
cfg.NTerms = 16; % Oscillators used in fading model
cfg.ModelType = 'GMEDS'; % Rayleigh fading model type
cfg.InitPhase = 'Random'; % Random initial phases
cfg.NormalizePathGains = 'On'; % Normalize delay profile power
cfg.NormalizeTxAnts = 'On'; % Normalize for transmit antennas
cfg.SamplingRate = rmccFgOut.SamplingRate;
% Setup channel equalizer
cec.PilotAverage = 'UserDefined'; % Type of pilot averaging
cec.FreqWindow = 9; % Frequency window size
cec.TimeWindow = 9; % Time window size
cec.InterpType = 'linear'; % 2D interpolation type
cec.InterpWindow = 'Centered'; % Interpolation window type
cec.InterpWinSize = 1; % Interpolation window size
addpath('../../debug/lte/phy/lib/phch/test')
decoded = zeros(size(SNR_values));
decoded_liblte = zeros(size(SNR_values));
for snr_idx=1:length(SNR_values)
SNRdB = SNR_values(snr_idx);
SNR = 10^(SNRdB/10); % Linear SNR
N0 = 1/(sqrt(2.0*rmccFgOut.CellRefP*double(rmccFgOut.Nfft))*SNR);
for i=1:Npackets
if isempty(recordedSignal)
%% Fading
rxWaveform = lteFadingChannel(cfg,waveform);
%rxWaveform = waveform;
%% Noise Addition
noise = N0*complex(randn(size(rxWaveform)), randn(size(rxWaveform))); % Generate noise
rxWaveform = rxWaveform + noise;
else
rxWaveform = recordedSignal;
end
%% Demodulate
frame_rx = lteOFDMDemodulate(rmccFgOut, rxWaveform);
%for sf_idx=0:Nsf
sf_idx=1;
subframe_waveform = rxWaveform(sf_idx*flen+1:(sf_idx+1)*flen);
subframe_rx=frame_rx(:,sf_idx*14+1:(sf_idx+1)*14);
rmccFgOut.NSubframe=sf_idx;
rmccFgOut.TotSubframes=1;
% Perform channel estimation
[hest, nest] = lteDLChannelEstimate(rmccFgOut, cec, subframe_rx);
[cws,symbols] = ltePDSCHDecode(rmccFgOut,rmccFgOut.PDSCH,subframe_rx,hest,nest);
[trblkout,blkcrc,dstate] = lteDLSCHDecode(rmccFgOut,rmccFgOut.PDSCH, ...
rmccFgOut.PDSCH.TrBlkSizes(sf_idx+1),cws);
decoded(snr_idx) = decoded(snr_idx) + ~blkcrc;
%% Same with libLTE
if (rmccFgOut.PDSCH.TrBlkSizes(sf_idx+1) > 0)
[dec2, data, pdschRx, pdschSymbols2, deb] = liblte_pdsch(rmccFgOut, rmccFgOut.PDSCH, ...
rmccFgOut.PDSCH.TrBlkSizes(sf_idx+1), ...
subframe_waveform);
else
dec2 = 1;
end
decoded_liblte(snr_idx) = decoded_liblte(snr_idx)+dec2;
%end
if ~isempty(recordedSignal)
recordedSignal = recordedSignal(flen*10+1:end);
end
end
fprintf('SNR: %.1f. Decoded: %d-%d\n',SNRdB, decoded(snr_idx), decoded_liblte(snr_idx))
end
if (length(SNR_values)>1)
semilogy(SNR_values,1-decoded/Npackets/(Nsf+1),'bo-',...
SNR_values,1-decoded_liblte/Npackets/(Nsf+1), 'ro-')
grid on;
legend('Matlab','libLTE')
xlabel('SNR (dB)')
ylabel('BLER')
axis([min(SNR_values) max(SNR_values) 1/Npackets/(Nsf+1) 1])
else
disp(decoded)
disp(decoded_liblte)
end