Optimized Design of Low Complexity SCMA System Assisted by Compressed Sensing

YU Lisu; ZHONG Run; LV Xinxin; WANG Yuhao; WANG Zhenghai

doi:10.11999/JEIT231226

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YU Lisu, ZHONG Run, LV Xinxin, WANG Yuhao, WANG Zhenghai. Optimized Design of Low Complexity SCMA System Assisted by Compressed Sensing[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231226

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YU Lisu, ZHONG Run, LV Xinxin, WANG Yuhao, WANG Zhenghai. Optimized Design of Low Complexity SCMA System Assisted by Compressed Sensing[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT231226

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Optimized Design of Low Complexity SCMA System Assisted by Compressed Sensing

doi: 10.11999/JEIT231226

School of Information and Engineering, Nanchang University, Nanchang 330031, China

Funds: The National Natural Science Foundation of China (62161023, 62061030, 62161024), Jiangxi Provincial Talent Project for Academic and Technical Leaders of Major Disciplines under Grant (20232BCJ23085), Jiangxi Provincial Natural Science Foundation under Grant (20224BAB212002), China Postdoctoral Science Foundation (2021TQ0136, 2022M711463), State Key Laboratory of Computer Architecture Project (CARCHB202019)

Received Date: 2023-11-06
Rev Recd Date: 2024-01-31

Available Online: 2024-03-08

Abstract

Abstract

Sparse Code Multiple Access (SCMA) technology is a highly valued code domain-based Non-Orthogonal Multiple Access (NOMA) technology. In order to solve the problem that the existing SCMA codebook design fails to combine the properties of data and decoder and the high complexity of MPA, a compressed sensing-assisted low-complexity SCMA system optimization design scheme is proposed. First, a codebook self-updating method is designed based on the system bit error rate optimization goal, which uses the gradient descent method to achieve self-updating of the codebook during the sparse vector reconstruction training process. Second, a compressed sensing-assisted multi-user detection algorithm is designed: Sign Decision Orthogonal Matching Pursuit (SD-OMP) algorithm. By sparse processing of the transmitted signal at the transmitting end, compressed sensing technology is used at the receiving end to efficiently detect and reconstruct multi-user sparse signals, this results in a reduction of conflicts between users and a reduction in system complexity. The simulation results show that under Gaussian channel conditions, the compressed sensing-assisted low-complexity SCMA system optimization and design scheme can effectively reduce the complexity of multi-user detection, and can show better bit error rate performance when the system user part is active.
- Sparse code multiple access (SCMA),
- Compressed sensing,
- Codebook design,
- Multi-user detection,
- Low complexity

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References(17)

References

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