Luo, Qu and Liu, Zilong and Chen, Gaojie and Xiao, Pei and Ma, Yi and Maaref, Amine (2023) A Design of Low-Projection SCMA Codebooks for Ultra-Low Decoding Complexity in Downlink IoT Networks. IEEE Transactions on Wireless Communications, 22 (10). pp. 6608-6623. DOI https://doi.org/10.1109/twc.2023.3244868 (In Press)
Luo, Qu and Liu, Zilong and Chen, Gaojie and Xiao, Pei and Ma, Yi and Maaref, Amine (2023) A Design of Low-Projection SCMA Codebooks for Ultra-Low Decoding Complexity in Downlink IoT Networks. IEEE Transactions on Wireless Communications, 22 (10). pp. 6608-6623. DOI https://doi.org/10.1109/twc.2023.3244868 (In Press)
Luo, Qu and Liu, Zilong and Chen, Gaojie and Xiao, Pei and Ma, Yi and Maaref, Amine (2023) A Design of Low-Projection SCMA Codebooks for Ultra-Low Decoding Complexity in Downlink IoT Networks. IEEE Transactions on Wireless Communications, 22 (10). pp. 6608-6623. DOI https://doi.org/10.1109/twc.2023.3244868 (In Press)
Abstract
This paper conceives a novel sparse code multiple access (SCMA) codebook design which is motivated by the strong need for providing ultra-low decoding complexity and good error performance in downlink Internet-of-things (IoT) networks, in which a massive number of low-end and lowcost IoT communication devices are served. By focusing on the typical Rician fading channels, we analyze the pair-wise error probability of superimposed SCMA codewords and then deduce the design metrics for multi-dimensional constellation construction and sparse codebook optimization. For significant reduction of the decoding complexity, we advocate the key idea of projecting the multi-dimensional constellation elements to a few overlapped complex numbers in each dimension, called low projection (LP). An emerging modulation scheme, called golden angle modulation (GAM), is considered for multi-stage LP optimization, where the resultant multi-dimensional constellation is called LP-GAM. Our analysis and simulation results show the superiority of the proposed LP codebooks (LPCBs) including one-shot decoding convergence and excellent error rate performance. In particular, the proposed LPCBs lead to decoding complexity reduction by at least 97% compared to that of the conventional codebooks, whilst owning large minimum Euclidean distance. Some examples of the proposed LPCBs are available at https://github.com/ethanlq/SCMA-codebook.
Item Type: | Article |
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Uncontrolled Keywords: | Sparse code multiple access (SCMA), golden angle modulation (GAM), codebook design, Internet-of-things (IoT), low complexity detection, Rician channels |
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: | 07 Feb 2023 13:07 |
Last Modified: | 11 Oct 2023 05:01 |
URI: | http://repository.essex.ac.uk/id/eprint/34838 |
Available files
Filename: LP_SCMA.pdf