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A Low-Complexity Energy-Minimization-Based SCMA Detector and Its Convergence Analysis

一个低复杂性的 Energy-Minimization-Based SCMA 察觉者和它的集中分析

作     者:Yuan, Weijie Wu, Nan Yan, Chaoxing Li, Yonghui Huang, Xiaojing Hanzo, Lajos 

作者机构:Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Univ Technol Sydney Fac Engn & Informat Technol Sydney NSW 2007 Australia Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England Univ Sydney Sch Elect & Informat Engn Sydney NSW 2006 Australia 

出 版 物:《IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY》 (IEEE运载工具技术汇刊)

年 卷 期:2018年第67卷第12期

页      面:12398-12403页

核心收录:

学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0823[工学-交通运输工程] 

基  金:National Science Foundation of China (NSFC) [61471037, 61571041] Foundation for the Author of National Excellent Doctoral Dissertation of China Australian Research Council [DP150104019] NSFC [61531006, 61772233] Engineering and Physical Sciences Research Council of the Royal Society's Global Challenges Research Fund [EP/Noo4558/1, EP/PO34284/1] European Research Council's Advanced Fellow Grant QuantCom EPSRC [EP/N004558/1] Funding Source: UKRI 

主  题:Sparse code multiple access variational free energy Bethe approximation convergence analysis 

摘      要:Sparse code multiple access (SCMA) has emerged as a promising non-orthogonal multiple access technique for the next-generation wireless communication systems. Since the signal of multiple users is mapped to the same resources in SCMA, its detection imposes a higher complexity than that of the orthogonal schemes, where each resource slot is dedicated to a single user. In this paper, we propose a low-complexity receiver for SCMA systems based on the radical variational free energy framework. By exploiting the pairwise structure of the likelihood function, the Bethe approximation is utilized for estimating the data symbols. The complexity of the proposed algorithm only increases linearly with the number of users, which is much lower than that of the maximum a posteriori detector associated with exponentially increased complexity. Furthermore, the convergence of the proposed algorithm is analyzed, and its convergence conditions are derived. Simulation results demonstrate that the proposed receiver is capable of approaching the error probability performance of the conventional message-passing-based receiver.

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