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Entropy 2019, 21(3), 231;

LDPC Coded Massive MIMO Systems

School of Electrical and Electronics Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea
Author to whom correspondence should be addressed.
Received: 16 January 2019 / Revised: 19 February 2019 / Accepted: 25 February 2019 / Published: 27 February 2019
(This article belongs to the Section Information Theory, Probability and Statistics)
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We design a coded massive multiple-input multiple-output (MIMO) system using low-density parity-check (LDPC) codes and iterative joint detection and decoding (JDD) algorithm employing a low complexity detection. We introduce the factor graph representation of the LDPC coded massive MIMO system, based on which the message updating rule in the JDD is defined. We devise a tool for analyzing extrinsic information transfer (EXIT) characteristics of messages flowing in the JDD and the three-dimensional (3-D) EXIT chart provides a visualization of the JDD behavior. Based on the proposed 3-D EXIT analysis, we design jointly the degree distribution of irregular LDPC codes and the JDD strategy for the coded massive MIMO system. The JDD strategy was determined to achieve a higher error correction capability with a given amount of computational complexity. It was observed that the coded massive MIMO system equipped with the proposed LDPC codes and the proposed JDD strategy has lower bit error rate than conventional LDPC coded massive MIMO systems. View Full-Text
Keywords: massive MIMO; LDPC codes; joint detection and decoding; low complexity; density evolution massive MIMO; LDPC codes; joint detection and decoding; low complexity; density evolution

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Hwang, I.; Park, H.J.; Lee, J.W. LDPC Coded Massive MIMO Systems. Entropy 2019, 21, 231.

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