This study is concerned with the application of non-binary low-density parity-check (NB-LDPC) codes to binary input inter-symbol interference channels. Two low-complexity joint detection/decoding algorithms are propos...
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This study is concerned with the application of non-binary low-density parity-check (NB-LDPC) codes to binary input inter-symbol interference channels. Two low-complexity joint detection/decoding algorithms are proposed. One is referred to as max-log-MAP/X-EMS algorithm, which is implemented by exchanging soft messages between the max-log-MAP detector and the extended min-sum (EMS) decoder. The max-log-MAP/X-EMS algorithm is applicable to general NB-LDPC codes. The other one, referred to as Viterbi/GMLGD algorithm, is designed in particular for majority-logic decodable NB-LDPC codes. The Viterbi/GMLGD algorithm works in an iterative manner by exchanging hard-decisions between the Viterbi detector and the generalised majority-logic decoder (GMLGD). As a by-product, a variant of the original EMS algorithm is proposed, which is referred to as mu-EMS algorithm. In the mu-EMS algorithm, the messages are truncated according to an adaptive threshold, resulting in a more efficient algorithm. Simulations results show that the max-log-MAP/X-EMS algorithm performs as well as the traditional iterativedetection/decoding algorithm based on the BCJR algorithm and theQ-ary sum-product algorithm, but with lower complexity. The complexity can be further reduced for majority-logic decodable NB-LDPC codes by executing the Viterbi/GMLGD algorithm with a performance degradation within one dB. These algorithms provide good candidates for trade-offs between performance and complexity.
In this paper, an improved message passing detectionalgorithm based on probability approximation is proposed for large-scale MIMO systems. Large-scale MIMO has been identified as a key technology for the upcoming fif...
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ISBN:
(纸本)9781538620625
In this paper, an improved message passing detectionalgorithm based on probability approximation is proposed for large-scale MIMO systems. Large-scale MIMO has been identified as a key technology for the upcoming fifth generation (5G) wireless communication systems. Message passing detection (MPD) algorithm which exploits channel hardening theory can achieve very good performance in Large-scale MIMO system. However, the complexity of the MPD algorithm grows with the number of users and the order of modulation, presenting an implementation challenge for a high-order massive MIMO system. Our proposed scheme successfully reduces computational complexity by reducing the number of symbol probability points using in iteration part. Numerical simulation results and complexity comparison have shown that the proposed algorithm can show advantages in complexity compared to original MPD algorithm.
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