Probabilistic shaping of joint source-channel coding and modulation system based on SC-LDPC codes

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-04-25 DOI:10.1016/j.phycom.2025.102693

Jichen He , Qiufang Lian , Sanya Liu , Shan Lu , Lin Zhou

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引用次数: 0

Abstract

The integration of the joint source-channel coding (JSCC) system with bit-interleaved coded modulation (BICM) and the deployment of high-order modulation can facilitate a further enhancement in the system’s bandwidth efficiency and throughput. Indeed, spatially coupled low-density parity-check (SC-LDPC) codes exhibit reduced decoding latency and complexity when compared to conventional LDPC codes. Consequently, this paper proposes a joint source-channel coding and modulation (JSCCM) scheme, based on SC-LDPC codes (SC-LDPC-JSCCM). Despite the recent surge in research on probabilistic amplitude shaping (PAS) within the BICM framework, the majority of these studies have exclusively focused on source distributions characterized by uniformity and equal probability. The combination of probabilistic shaping (PS) and JSCC technology allows the unequal probability of the source to be exploited to make full use of the symbol redundancy generated, thereby further improving the reliability of the high-order modulation system. In this paper, by integrating a novel bit marking probabilistic shaping technology, an adaptive optimal probabilistic shaping (AOPS) algorithm is designed to further enhance the performance of the SC-LDPC-JSCCM system. The simulation experiments reveal that the AOPS scheme not only brings the system capacity closer to the Shannon limit, but also significantly improves the system’s bit error rate performance. These results underscore the substantial enhancement provided by the AOPS algorithm in the SC-LDPC-JSCCM system, confirming its potential and novelty.

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基于SC-LDPC码的联合信源信道编码与调制系统的概率整形

联合信源信道编码（JSCC）系统与比特交织编码调制（BICM）的集成和高阶调制的部署可以进一步提高系统的带宽效率和吞吐量。实际上，与传统的LDPC代码相比，空间耦合低密度奇偶校验（SC-LDPC）代码表现出更低的解码延迟和复杂性。因此，本文提出了一种基于SC-LDPC码（SC-LDPC-JSCCM）的联合信源信道编码与调制（JSCCM）方案。尽管最近在BICM框架内对概率振幅形成（PAS）的研究激增，但这些研究大多只关注均匀性和等概率的源分布。概率整形（PS）技术与JSCC技术相结合，可以利用信源的不等概率，充分利用产生的码元冗余，从而进一步提高高阶调制系统的可靠性。本文通过集成一种新颖的位标记概率整形技术，设计了一种自适应最优概率整形（AOPS）算法，进一步提高了SC-LDPC-JSCCM系统的性能。仿真实验表明，AOPS方案不仅使系统容量更接近香农极限，而且显著提高了系统的误码率性能。这些结果强调了AOPS算法在SC-LDPC-JSCCM系统中提供的实质性增强，证实了其潜力和新颖性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.