Zhang, Yuan and Liu, Zilong and Xiao, Pei and Guo, Fucheng (2022) A Novel SCMA Codebook Design Method Based on Low Error Probability Criteria. In: 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), 2021-10-22 - 2021-10-24, Nanjing, China.
Zhang, Yuan and Liu, Zilong and Xiao, Pei and Guo, Fucheng (2022) A Novel SCMA Codebook Design Method Based on Low Error Probability Criteria. In: 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), 2021-10-22 - 2021-10-24, Nanjing, China.
Zhang, Yuan and Liu, Zilong and Xiao, Pei and Guo, Fucheng (2022) A Novel SCMA Codebook Design Method Based on Low Error Probability Criteria. In: 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), 2021-10-22 - 2021-10-24, Nanjing, China.
Abstract
A method to construct codebooks for downlink sparse code multiple access (SCMA) systems is proposed in this paper. Codebooks for each sub-channel are based on the most commonly used QAM modulation. Then, low error probability criteria to measure the SCMA codebook performance in AWGN channel and Rayleigh fading channel are proposed. We propose to use simulated annealing algorithm to optimize the proposed codebooks based on the criteria. Simulation results show that the proposed codebooks exhibit excellent performance in both Rayleigh fading channel and AWGN channel, especially for high-order SCMA systems.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: _not provided_ |
Uncontrolled Keywords: | Sparse code multiple access; codebook design; simulated annealing; AWGN channel; Rayleigh fading channel; high-order codebook |
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 20:00 |
Last Modified: | 11 Sep 2024 05:43 |
URI: | http://repository.essex.ac.uk/id/eprint/31291 |
Available files
Filename: ICSIP_2021_paper_140.pdf