Iterative Detection and Decoding for Cell-Free Massive Multiuser MIMO with LDPC Codes

TL;DR

This paper introduces an iterative detection and decoding scheme for cell-free massive MIMO systems using LDPC codes, enhancing performance through list-based multi-feedback diversity and iterative LLR exchanges.

Contribution

It proposes a novel list-based multi-feedback SIC detector and applies iterative detection and decoding to improve cell-free massive MIMO performance.

Findings

MF-SIC outperforms PIC and MF-PIC schemes.

The iterative scheme improves BER performance.

Cell-free MIMO shows advantages over co-located MIMO.

Abstract

This paper proposes an iterative detection and decoding (IDD) scheme for a cell free massive multiple input multiple output (CF-mMIMO) system. Users send coded data to the access points (APs), which is jointly detected at central processing unit (CPU). The symbols are exchanged iteratively in the form of log likelihood ratios (LLRs) between the detector and the low-density parity check codes (LPDC) decoder, increasing the coded system's performance. We propose a list-based multi-feedback diversity with successive interference cancellation (MF-SIC) to improve the performance of the CF-mMIMO. Furthermore, the proposed detector is compared with the parallel interference cancellation (PIC) and MF-PIC schemes. Finally, the bit error rate (BER) performance of CF-mMIMO is compared with the co-located mMIMO (Col-mMIMO).