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Linear and Nonlinear precoding in downlink Multi-user Massive MIMO systems

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Shenzhi-ZHANG/Massive-MIMO-Precoding

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Massive-MIMO-Precoding

This repository contains MATLAB code for simulation of the downlink precoding of Massive MIMO system. I proposed two optimizations for downlink precoding under the use of 1-bit DAC and imperfect CSI.

Note: Change the parameters to make the system correspond to your need. I have been playing around with these parameters. So the current parameters setting are NOT consistent with the sample output. Several parameters that need more attention:

  • Num_BS_Antennas: The numebr of antennas at the base station.

  • Num_UE: The number of UEs, assume each UE just has a single antenna.

  • SNR: The range of SNR we simulate.

  • Symbols: The constellation points specified to the modulation scheme chosen.

  • f_dop: The doppler spread of the channel.

  • f_symb: The sampling rate of channel matrix.

  • multi: The weight of additive estimation error to channel estimation.

System Model

Figure taken from Jacobsson S, Durisi G, Coldrey M, et al. Quantized Precoding for Massive MU-MIMO[J]. 2016

image

Files

  • main.m: The entry function for robust ZF precoder.

  • main_linear.m: The entry function for comparing three conventional precoders.

  • Transmit.m: Complete source data generation, modulation, precoding, transmission and detection.

  • Transmit_linear.m: Same functionality as transit.m, but designed for the conventional precoders.

  • MF_Precoder.m: Conventional Matched Filter Precoder. Aim to maximize the SNR at receiving end.

  • ZF_Precoder.m: Conventional Zero Forcing Precoder. Aim to eliminate the interference among users.

  • WF_Precoder.m: Conventional Wiener Filter Precoder. Aim to minimize MSE between sending sequence and received sequence.

  • Gen_Channel2.m: Generate a Rayleigh and flat-fading channel given doppler spread and sampling rate.

  • Robust_CSI.m: Implementation of robust CSI algorithm.

  • Robust_DAC.m: Implementation of robust 1-bit DAC algorithm.

  • Robust_ZF_Precoder.m: Integrate Robust_CSI and Robust_DAC. Implement robust ZF precoder.

  • Quantize_x.m: Simulate DAC, realize quantization.

  • Decider.m: Detect the received constellation point.

Sample Output

Comparison between MF, ZF, WF precoders:

image

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Linear and Nonlinear precoding in downlink Multi-user Massive MIMO systems

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