基于并行计算的低复杂度SCMA检测算法
首发时间:2019-01-31
摘要:稀疏码分多址技术(Sparse Code Multiple Access,SCMA)作为5G物联网场景中讨论的一种非正交多址技术,可以有效提高接入量。其接收端采用消息传递算法(Message Passing Algorithm,MPA)进行多用户检测。针对MPA复杂度过高的问题,在现有优化算法CMPA(Clustered MPA)的基础上,本文提出一种基于并行计算的消息传递(Parallel based MPA,PMPA)算法。该算法优化了子图设计和迭代更新的规则,使子图最小环长最大化且各子图的译码可以采用并行计算。仿真结果表明,相比于MPA算法,该算法能实现误码率性能和复杂度的良好折中。
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Low complexity SCMA detection algorithm based on parallel computing
Abstract:Sparse Code Multiple Access (SCMA) is a non-orthogonal multiple access technology discussed in the 5G IoT scenario, which can effectively increase the access volume.The receiver uses a Message Passing Algorithm (MPA) for multi-user detection.Aiming at the problem of MPA complexity, based on the existing optimization algorithm CMPA (Clustered MPA), this paper proposes a parallel based message passing algorithm (Parallel based MPA, PMPA) .The algorithm optimizes the rules of subgraph design and iterative update, so that the minimum loop length of the subgraph is maximized and the decoding of each subgraph can be performed in parallel.The simulation results show that compared with the MPA algorithm, the algorithm can achieve a good compromise between BER performance and complexity.
Keywords: communications technology SCMA MPA parallel computing
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