Iterative Detection and Decoding for Cell-Free Massive Multiuser MIMO with LDPC Codes
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).
Cite
@article{arxiv.2210.12906,
title = {Iterative Detection and Decoding for Cell-Free Massive Multiuser MIMO with LDPC Codes},
author = {T. Ssettumba and R. Di Renna and L. Landau and R. C. de Lamare},
journal= {arXiv preprint arXiv:2210.12906},
year = {2022}
}
Comments
4 figures, 8 pages