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用于异步稀疏码多址接入(SCMA)系统的带内窗联合检测与解码的混合自动重传请求(IR-HARQ)

Windowed Joint Detection and Decoding with IR-HARQ for Asynchronous SCMA Systems.

作者信息

Guan Mengsheng, Zhu Min, Bai Baoming

机构信息

The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China.

Science and Technology on Communication Networks Laboratory, Shijiazhuang 050081, China.

出版信息

Entropy (Basel). 2023 Jun 13;25(6):930. doi: 10.3390/e25060930.

DOI:10.3390/e25060930
PMID:37372274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10296813/
Abstract

To improve the decoding performance of asynchronous sparse code multiple access (SCMA) systems over additive white Gaussian noise (AWGN) channels, this paper proposes a novel windowed joint detection and decoding algorithm for a rate-compatible (RC), LDPC code-based, incremental redundancy (IR) hybrid automatic repeat quest (HARQ) scheme. Since incremental decoding can exchange information iteratively with the detections made at previous consecutive time units, we propose a windowed joint detection and decoding algorithm. The extrinsic information exchanging process is performed between the decoders and the previous detectors at different consecutive time units. Simulation results show that the sliding-window IR-HARQ scheme for the SCMA system outperforms the original IR-HARQ scheme with a joint detection and decoding algorithm. The throughput of the SCMA system with the proposed IR-HARQ scheme is also improved.

摘要

为了提高异步稀疏码多址接入(SCMA)系统在加性高斯白噪声(AWGN)信道上的解码性能,本文针对一种基于速率兼容(RC)、低密度奇偶校验(LDPC)码的增量冗余(IR)混合自动重传请求(HARQ)方案,提出了一种新颖的窗口联合检测与解码算法。由于增量解码可以与在先前连续时间单元所做的检测进行迭代信息交换,因此我们提出了一种窗口联合检测与解码算法。外在信息交换过程在不同连续时间单元的解码器与先前检测器之间进行。仿真结果表明,SCMA系统的滑动窗口IR-HARQ方案优于采用联合检测与解码算法的原始IR-HARQ方案。采用所提IR-HARQ方案的SCMA系统的吞吐量也得到了提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/1a103db8abe2/entropy-25-00930-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/71d67b917a32/entropy-25-00930-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/689903a8abbf/entropy-25-00930-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/c113af516584/entropy-25-00930-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/97fbc4b7bad7/entropy-25-00930-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/19ffe0d8fa84/entropy-25-00930-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/edcf3b54809f/entropy-25-00930-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/1a103db8abe2/entropy-25-00930-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/71d67b917a32/entropy-25-00930-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/689903a8abbf/entropy-25-00930-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/c113af516584/entropy-25-00930-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/97fbc4b7bad7/entropy-25-00930-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/19ffe0d8fa84/entropy-25-00930-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/edcf3b54809f/entropy-25-00930-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2a2/10296813/1a103db8abe2/entropy-25-00930-g007.jpg

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