A Tutorial on Decoding Techniques of Sparse Code Multiple Access

IEEE Access

Pei Xiao¹  Vivek Ashok Bohara²  Saumya Chaturvedi²  Anand Srivastava²  Zilong Liu³ 

[1] 5G Innovation Centre, Institute of Communication Systems, University of Surrey, Guildford, U.K.;Department of Electronics and Communications Engineering, Indraprastha Institute of Information Technology (IIIT-Delhi), Delhi, New Delhi, India;School of Computer Science and Electrical Engineering, University of Essex, Colchester, U.K.;

关键词: Codebook design;    factor graphs;    message passing algorithm (MPA);    non-orthogonal multiple access (NOMA);    sparse code multiple access (SCMA);   

DOI  :  10.1109/ACCESS.2022.3178127

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown