arrow
返回

Improved Message Passing Algorithms for Sparse Code Multiple Access

delete2017-11-01
delete36
PRE
AI
J
Jincheng Dai *
K
Kai Niu
C
Chao Dong
J
Jiaru Lin
DOI:10.1109/TVT.2017.2741525delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Sparse code multiple access (SCMA) is one of the nonorthogonal multiple access techniques for the 5G system. SCMA can provide different levels of overloading to meet the diverse traffic connectivity requirements. However, its relatively high computational complexity of multiuser detection is still a significant concern for practical implementation, even when the sparse structure has already been employed. In this paper, a design framework for an improved SCMA multiuser detector is proposed based on the message passing algorithm (MPA). As the primary SCMA detector, two aspects of MPA are simplified and optimized. First, we introduce a lookup table (LUT) scheme to reduce the computational complexity of the max* operation in the MPA. In contrast to the extensive Jacobian approximation, the proposed LUT method can guarantee the stable convergence of the MPA for SCMA. Second, a series of novel scheduling schemes are proposed to speed up the convergence. A single scheduling MPA (SS-MPA) method is given to enhance the convergence performance of MPA, where the soft messages in the function nodes and variable nodes are serially calculated and synchronously updated. To further improve the throughput of the MPA, a multiple schedulingMPA (MS-MPA) is proposed. In this method, multiple detectors are used to calculate in parallel and update the node messages by different orders. Since the scheduling strategies of message update are optimized, both the SS-MPA and MS-MPA can converge more quickly than the conventional MPA. Theoretical analyses and simulation results regarding the error performance and convergence properties of the above schemes are included.
Keyword:
Convergence speed
design framework
MPA
scheduling strategies
SCMA
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

机构

B
beijing university of posts & telecommunications
学者数:
1.4W
论文数: 1.2W
被引数: 9
引用论文

引用论文

err分享
err收藏
Location and Activity Recognition Using eWatch: A Wearable Sensor Platform
err2006-01-01
err0
PREAI
errUwe Maurer; Anthony Rowe; Asim Smailagic; Daniel Siewiorek
err分享
err收藏
Joint Multiuser Detection of Multidimensional Constellations Over Fading Channels
err2016-01-01
err60
PREAI
errBao, Jinchen; Ma, Zheng; Karagiannidis, George K.; Xiao, Ming; Zhu, Zhongliang
err分享
err收藏
err分享
err收藏
err分享
err收藏
err分享
err收藏
学者 查看更多内容