Improved I-Log-SCMA algorithm for low complexity detection

Fang Liu; Chang Li; Jian Liu

doi:10.1117/12.2675237

25 May 2023 Improved I-Log-SCMA algorithm for low complexity detection

Fang Liu, Chang Li, Jian Liu

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263621 (2023) https://doi.org/10.1117/12.2675237
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

SCMA (sparse code multiple access) is a kind of wireless Communication technology, which is used to process the uplink portion of wireless communication and ensure a high data transmission rate and massive data connection at the age of information technology. The urgent need for SCMA technology is to address the issue that the user capacity of SCMA technology couldn’t be balanced with the complexity of the detection algorithm. As for solving this, an improved low-complexity detection algorithm I-log-MPA was analyzed, which is based on the modification of the traditional algorithm in multi-user detection. It made up for the solving of the bit error performance of MAX-log-MPA algorithm and the problem of high complexity. The simulation results revealed that the I-log-MPA detection algorithm with lower complexity and lower bit error rate could effectively improve the performance of SCMA system.

Citation Download Citation

Fang Liu, Chang Li, and Jian Liu "Improved I-Log-SCMA algorithm for low complexity detection", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263621 (25 May 2023); https://doi.org/10.1117/12.2675237

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KEYWORDS

Detection and tracking algorithms

Error analysis

Data transmission

Mathematical optimization

Receivers

Signal detection

Computer simulations

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