期刊
IEEE ACCESS
卷 10, 期 -, 页码 25296-25308出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3156285
关键词
Massive MIMO; Iterative decoding; Detectors; Convergence; Decoding; Receivers; Complexity theory; Massive MIMO; multi-user; LDPC codes; joint detection and decoding; low complexity; density evolution
资金
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2019R1F1A1042599]
In this paper, a low-density parity-check (LDPC) coded multi-user (MU) massive MIMO system is designed with an iterative joint detection and decoding (JDD) algorithm. A factor graph based belief propagation detection with Gaussian approximation of interference is considered as a low-complexity MU detection scheme. LDPC codes and a JDD strategy are efficiently designed for coded MU massive MIMO systems to achieve fast convergence and low bit error probability.
We design a low-density parity-check (LDPC) coded multi-user (MU) massive multiple-input multiple-output (MIMO) system with an iterative joint detection and decoding (JDD) algorithm. As a low-complexity MU detection scheme, we consider a factor graph based belief propagation detection with Gaussian approximation of interference, called a FG-GAI BP detection. We introduce a factor graph representation of LDPC coded MU massive MIMO system and define the message updating rule in the JDD process. We devise a design tool for analyzing extrinsic information transfer (EXIT) characteristics of messages exchanged in JDD, based on which degree distribution of LDPC codes and a JDD strategy are efficiently designed for coded MU massive MIMO systems. A JDD strategy and LDPC codes are designed such that a fast convergence of JDD and a low bit error probability are attained. It is observed that the coded MU massive MIMO system equipped with LDPC codes and the JDD strategy designed by the proposed method shows a lower bit error rate than conventional ones with a given number of iterations.
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