Distributed GRS-coded differential spatial modulation for half-duplex cooperative network based on relay optimization and joint decoding

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IET Communications Pub Date : 2024-11-20 DOI:10.1049/cmu2.12867
Chen Chen, Fengfan Yang
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Abstract

To ensure the reliable transmission with increased spectral efficiency of the small information block, this article proposes the novel distributed generalized Reed-Solomon coded differential spatial modulation (DGRSC-DSM) scheme in the relay cooperation manner. Two different generalized Reed-Solomon (GRS) codes with identical lengths are deployed at the source and relay, respectively, where the relay utilizes the subcode of the GRS code, which can construct an ultimate code having a unique algebraic structure at the destination. In addition, the Global search algorithm (Algorithm 1) is developed to obtain an optimal selection mode at the relay, resulting in the final code with an optimal code weight enumeration. Since the complexity of this algorithm is extremely high, the low-complexity Parity-position local search algorithm (Algorithm 2) is then proposed to get the suboptimal mode. Monte-Carlo results indicate that there is a minimal disparity in performance between the two proposed algorithms that both effectively enhance the system performance. Moreover, based on the optimized final code and the special construction of GRS code, the novel Smart-joint decoding algorithm is first presented at the destination which can fully exploit two-way information data and further lower the bit error rate (BER) of the DGRSC-DSM scheme. Also, the analytical union bound of the proposed scheme is formulated over the quasi-static Rayleigh fading channel, which illustrates a tight fit at the high signal-to-noise ratio (SNR) regions.

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基于中继优化和联合解码的分布式 GRS 编码差分空间调制半双工合作网络
为了在提高频谱效率的同时确保小信息块的可靠传输,本文提出了中继合作方式的新型分布式广义里德-所罗门编码差分空间调制(DGRSC-DSM)方案。源端和中继端分别部署两种长度相同的广义里德-所罗门(GRS)编码,中继端利用 GRS 编码的子编码,在目的地构造出具有独特代数结构的终极编码。此外,还开发了全局搜索算法(算法 1),以在中继处获得最佳选择模式,从而得到具有最佳码重枚举的最终编码。由于该算法的复杂度极高,因此提出了低复杂度的奇偶校验位置局部搜索算法(算法 2)来获得次优模式。蒙特卡洛结果表明,两种算法的性能差距很小,都能有效提高系统性能。此外,基于优化后的最终编码和 GRS 编码的特殊构造,在目的地首次提出了新颖的智能联合解码算法,该算法可以充分利用双向信息数据,进一步降低 DGRSC-DSM 方案的误码率(BER)。此外,还在准静态瑞利衰落信道上提出了所提方案的分析联合边界,说明了在高信噪比(SNR)区域的紧密拟合。
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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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