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LDPC Coded Multi-User Massive MIMO Systems With Low-Complexity Detection
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DOI：10.1109/ACCESS.2022.3156285.png)
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Abstract
En 中文
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.
Keywords:
Massive MIMO
Iterative decoding
Detectors
Convergence
Decoding
Receivers
Complexity theory
Massive MIMO
multi-user
LDPC codes
joint detection and decoding
low complexity
density evolution
Journal
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3.6
Papers:
9.8W
Citations:
29.4W
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