To find more books about mimo ofdm matlab code, you can use related keywords: Nearfield Beamformer Matlab Code, Code Matlab Predict Narx, Matlab Code For Speeck. MIMO-OFDM wireless communications with MATLAB. 7.2.2 PAPR Reduction Code. 7.2.3 Selective. In MIMO-OFDM WirelessCommunications with MATLAB.

For k = 1:nframes% Find row indices for kth OFDM frame indData = (k-1)*ofdmModDim.DataInputSize(1)+1:k*numData;% Generate random OFDM pilot symbols pilotData = complex(rand(ofdmModDim.PilotInputSize). Rand(ofdmModDim.PilotInputSize));% Modulate QPSK symbols using OFDM dataOFDM = ofdmMod(modData(indData,:,:),pilotData);% Create flat, i.i.d., Rayleigh fading channel chGain = complex(randn(2,2),randn(2,2))/sqrt(2);% Random 2x2 channel% Pass OFDM signal through Rayleigh and AWGN channels receivedSignal = awgn(dataOFDM*chGain,30);% Apply least squares solution to remove effects of fading channel rxSigMF = chGain.' ;% Demodulate OFDM data receivedOFDMData = ofdmDemod(rxSigMF.' );% Demodulate QPSK data receivedData = qpskDemod(receivedOFDMData(:));% Compute error statistics dataTmp = data(indData,:,:); errors = errorRate(dataTmp(:),receivedData); end Display the error statistics.

Bibliography Includes bibliographical references and index. Contents • Preface. Limits of Liability and Disclaimer of Warranty of Software.

1 The Wireless Channel: Propagation and Fading. 1.1 Large-Scale Fading. 1.1.1 General Path Loss Model.

1.1.2 Okumura/Hata Model. 1.1.3 IEEE 802.16d Model.

1.2 Small-Scale Fading. 1.2.1 Parameters for Small-Scale Fading. 1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading. 1.2.3 Statistical Characterization and Generation of FadingChannel. 2 SISO Channel Models.

2.1 Indoor Channel Models. 2.1. 1 General Indoor Channel Models. 2.1.2 IEEE 802.11 Channel Model.

2.1.3 Saleh-Valenzuela (S-V) Channel Model. 2.1.4 UWB Channel Model.

2.2 Outdoor Channel Models. 2.2.1 FWGN Model. 2.2.2 Jakes Model. 2.2.3 Ray-Based Channel Model. 2.2.4 Frequency-Selective Fading Channel Model. 2.2.5 SUI Channel Model.

3 MIMO Channel Models. 3.1 Statistical MIMO Model. 3.1.1 Spatial Correlation. 3.1.2 PAS Model. 3.2 I-METRA MIMO Channel Model. 3.2.1 Statistical Model of Correlated MIMO Fading Channel.

Programming with c# concepts and practice pdf. 3.2.2 Generation of Correlated MIMO Channel Coefficients. 3.2.3 I-METRA MIMO Channel Model. 3.2.4 3GPP MIMO Channel Model. 3.3 SCM MIMO Channel Model. 3.3.1 SCM Link-Level Channel Parameters. 3.3.2 SCM Link-Level Channel Modeling.

3.3.3 Spatial Correlation of Ray-Based Channel Model. 4 Introduction to OFDM.

4.1 Single-Carrier vs. Multi-Carrier Transmission. 4.1.1 Single-Carrier Transmission.

4.1.2 Multi-Carrier Transmission. 4.1.3 Single-Carrier vs. Multi-Carrier Transmission. 4.2 Basic Principle of OFDM. 4.2.1 OFDM Modulation and Demodulation. 4.2.2 OFDM Guard Interval.

4.2.3 OFDM Guard Band. 4.2.4 BER of OFDM Scheme.

4.2.5 Water-Filling Algorithm for Frequency-Domain LinkAdaptation. 4.3 Coded OFDM. 4.4 OFDMA: Multiple Access Extensions of OFDM. 4.4.1 Resource Allocation Subchannel AllocationTypes. 4.4.2 Resource Allocation Subchannelization.

4.5 Duplexing. 5 Synchronization for OFDM. 5.1 Effect of STO. 5.2 Effect of CFO. 5.2.1 Effect of Integer Carrier Frequency Offset (IFO). 5.2.2 Effect of Fractional Carrier Frequency Offset (FFO). 5.3 Estimation Techniques for STO.

5.3.1 Time-Domain Estimation Techniques for STO. 5.3.2 Frequency-Domain Estimation Techniques for STO. 5.4 Estimation Techniques for CFO. 5.4.1 Time-Domain Estimation Techniques for CFO. 5.4.2 Frequency-Domain Estimation Techniques for CFO.

5.5 Effect of Sampling Clock Offset. 5.5.1 Effect of Phase Offset in Sampling Clocks. 5.5.2 Effect of Frequency Offset in Sampling Clocks.

5.6 Compensation for Sampling Clock Offset. 5.7 Synchronization in Cellular Systems. 5.7.1 Downlink Synchronization. 5.7.2 Uplink Synchronization. 6 Channel Estimation.