Chaturvedi, Saumya and Liu, Zilong and Bohara, Vivek Ashok and Srivastava, Anand and Xiao, Pei (2022) A Tutorial on Decoding Techniques of Sparse Code Multiple Access. IEEE Access, 10. pp. 58503-58524. DOI https://doi.org/10.1109/access.2022.3178127
Chaturvedi, Saumya and Liu, Zilong and Bohara, Vivek Ashok and Srivastava, Anand and Xiao, Pei (2022) A Tutorial on Decoding Techniques of Sparse Code Multiple Access. IEEE Access, 10. pp. 58503-58524. DOI https://doi.org/10.1109/access.2022.3178127
Chaturvedi, Saumya and Liu, Zilong and Bohara, Vivek Ashok and Srivastava, Anand and Xiao, Pei (2022) A Tutorial on Decoding Techniques of Sparse Code Multiple Access. IEEE Access, 10. pp. 58503-58524. DOI https://doi.org/10.1109/access.2022.3178127
Abstract
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.
Item Type: | Article |
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Additional Information: | , , , , |
Uncontrolled Keywords: | Codebook design; factor graphs; message passing algorithm (MPA); non-orthogonal multiple access (NOMA); sparse code multiple access (SCMA) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 05 Feb 2023 19:54 |
Last Modified: | 16 May 2024 21:22 |
URI: | http://repository.essex.ac.uk/id/eprint/34579 |
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Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0