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稀疏码分多址收发端改进方案的设计
引用本文:庄陵,刘思杨.稀疏码分多址收发端改进方案的设计[J].系统工程与电子技术,2022,44(1):320-326.
作者姓名:庄陵  刘思杨
作者单位:1. 重庆邮电大学通信与信息工程学院, 重庆 4000652. 移动通信教育部工程研究中心, 重庆 4000653. 移动通信技术重庆市重点实验室, 重庆 400065
基金项目:重庆市科委项目(cstc2018jcyjAX0383)资助课题。
摘    要:为降低传统稀疏码分多址接入(sparse code multiple access,SCMA)系统的译码复杂度,同时保证系统误比特率(bit error ratio,BER)性能,考虑信道质量因素提出SCMA系统收发端改进方案.在接收端,提出基于信道质量动态选择节点改进消息传递算法(message passing al...

关 键 词:稀疏码分多址接入  信道质量  因子图  消息传递算法
收稿时间:2020-12-09

Improved scheme design of sparse code multiple access transceiver
ZHUANG Ling,LIU Siyang.Improved scheme design of sparse code multiple access transceiver[J].System Engineering and Electronics,2022,44(1):320-326.
Authors:ZHUANG Ling  LIU Siyang
Institution:1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China2. Engineering Research Center of Mobile Communication Ministry of Education, Chongqing 400065, China3. Chongqing Key Laboratory of Mobile Communications Technology, Chongqing 400065, China
Abstract:In order to reduce the decoding complexity of the traditional sparse code multiple access (SCMA) system and guarantee the bit error ratio (BER) performance of the system, improved SCMA transceiver system is proposed based on the channel quality factor. An improved message passing algorithm (MPA) dynamically selects nodes based on channel quality is proposed at the receiver, which sorts the node update sequence reasonably on the basis of serial strategy, thereby decreasing the number of iterations of the algorithm to reduce the decoding complexity. At the same time, due to compensate BER performance cost, a dynamic adaptive updating factor graph scheme based on channel quality is designed at the transmitter, which matches resource node combination with high channel gain for user nodes. Besides, considering the fairness of users, the user nodes with the lowest channel gain in the last round of updating factor graph are given priority to match. Simulation experiments show that the proposed improved system can effectively reduce the decoding complexity under the premise of ensuring BER performance and fairness of each user.
Keywords:sparse code multiple access(SCMA)  channel quality  factor graph  message passing algorithm(MPA)
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