A Tutorial on Decoding Techniques of Sparse Code Multiple Access

A Tutorial on Decoding Techniques of Sparse Code Multiple Access
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DOI:
10.1109/access.2022.3178127
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发表时间:
2022-05
期刊:
影响因子:
3.9
通讯作者:
Saumya Chaturvedi;Zizheng Liu;V. Bohara;A. Srivastava;P. Xiao
Saumya Chaturvedi;Zizheng Liu;V. Bohara;A. Srivastava;P. Xiao
中科院分区:
计算机科学3区
文献类型:
--
作者:
Saumya Chaturvedi;Zizheng Liu;V. Bohara;A. Srivastava;P. Xiao

文献摘要

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稀疏码分多址(SCMA)是一种破坏性的码域非正交多址(NOMA)方案,用于支持未来大规模的机器类型的通信网络。作为码分多址(CDMA)的一种演进形式,SCMA中的多个用户通过分配独特的稀疏码本(CB)来分离。在接收端采用消息传递算法(MPA)进行有效的多用户检测,该算法利用CBS的稀疏性来获得接近最大似然接收器的差错性能。尽管近年来进行了大量的研究工作,但据我们所知,关于SCMA的全面一站式教程仍然缺乏,该教程涵盖了SCMA的背景、基本原则和新的进展。为了填补这一空白,并激励更多即将到来的研究,我们以独立的方式全面介绍了SCMA编码、CB设计和基于MPA的解码的原理。作为一篇旨在突破SCMA极限的雄心勃勃的论文,我们对先进的译码技术进行了综述,并给出了简要的算法描述和几个有前途的方向。
Sparse Code Multiple Access (SCMA) is a disruptive code-domain non-orthogonal multiple access (NOMA) scheme to enable future massive machine-type communication networks. As an evolved variant of code division multiple access (CDMA), multiple users in SCMA are separated by assigning distinctive sparse codebooks (CBs). Efficient multiuser detection is carried out at the receiver by employing the message passing algorithm (MPA) that exploits the sparsity of CBs to achieve error performance approaching to that of the maximum likelihood receiver. In spite of numerous research efforts in recent years, a comprehensive one-stop tutorial of SCMA covering the background, the basic principles, and new advances, is still missing, to the best of our knowledge. To fill this gap and to stimulate more forthcoming research, we provide a holistic introduction to the principles of SCMA encoding, CB design, and MPA based decoding in a self-contained manner. As an ambitious paper aiming to push the limits of SCMA, we present a survey of advanced decoding techniques with brief algorithmic descriptions as well as several promising directions.