同步和异步HARQ-CC辅助SCMA方案

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-12-26 DOI:10.1109/LSP.2024.3523227
Man Wang;Zheng Shi;Yunfei Li;Xianda Wu;Weiqiang Tan
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引用次数: 0

摘要

本文提出了一种新的混合自动重复请求与追踪结合辅助稀疏码多址(HARQ-CC-SCMA)方案。根据是否重传相同的叠加包,重传会考虑同步和异步模式。此外,采用因子图聚合(FGA)方法进行多用户检测。具体而言,将接收到的所有叠加信号组合成一个大规模因子图,并应用消息传递算法(MPA)计算对数似然比(LLR)。蒙特卡罗仿真表明,FGA在同步模式下优于位级组合(BLC)和具有增量冗余的HARQ (HARQ- ir)。此外,在异步模式下,FGA在高信噪比(SNR)区域的性能优于BLC。然而,异步模式下的FGA比低信噪比下的BLC更差,因为在最大允许的HARQ轮之后,失败消息的存在会引起显著的错误传播。
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Synchronous and Asynchronous HARQ-CC Assisted SCMA Schemes
This letter proposes a novel hybrid automatic repeat request with chase combining assisted sparse code multiple access (HARQ-CC-SCMA) scheme. Depending on whether the same superimposed packet is retransmitted, synchronous and asynchronous modes are considered for retransmissions. Moreover, a factor graph aggregation (FGA) method is used for multi-user detection. Specifically, a large-scale factor graph is constructed by combining all the received superimposed signals and message passing algorithm (MPA) is applied to calculate log-likelihood ratio (LLR). Monte Carlo simulations are preformed to show that FGA surpasses bit-level combining (BLC) and HARQ with incremental redundancy (HARQ-IR) in synchronous mode. Moreover, FGA performs better than BLC at high signal-to-noise ratio (SNR) region in asynchronous mode. However, FGA in asynchronous mode is worse than BLC at low SNR, because significant error propagation is induced by the presence of failed messages after the maximum allowable HARQ rounds.
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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