Improving 5G network performance for OFDM-IDMA system resource management optimization using bio-inspired algorithm with RSM

• Published in: Computer communications 2022-09, Vol.193, p.23-37
• Main Authors: Jadhav, Makarand, Deshpande, Vivek, Midhunchakkaravarthy, Divya, Waghole, Dattatray
• Format: Article
• Language: English
• Subjects: BER; CFO; IDMA; MSE; OFDM; RSM; SIC-MUD
• ISSN: 0140-3664; 1873-703X
• DOI: 10.1016/j.comcom.2022.06.031

The OFDM-IDMA system is a new era in the wireless domain. It is affected by the MAI and CFO effects. There are no specific CFO reduction techniques that have been identified as the best solution for a multicarrier multiuser system. This paper proposes a bio-inspired scheme for optimizing the performance of an OFDM-IDMA system. To improve BER performance in the presence of CFOs in a multiuser environment, the SIC-MUD and SIC-MUD with SU-LA algorithms are presented. The MAI effect is mitigated by the SIC-MUD technique. The SU-LA algorithm, on the other hand, improves channel estimation performance by optimizing pilot positions. The combination of these algorithms contributes to the reduction of estimation errors and, as a result, ensures the achievement of 0.0472 MSE. The CFO values used in the simulation are 0, 0.1, and 0.2, and the users are 1, 4, 8, with 16 QAM over the Rayleigh channel. When compared to the SIC-MUD algorithm, the proposed algorithm improved the BER by 41.17 percent and can tolerate 0.1 CFO in the presence of 8 users. The analysis’s second-order mathematical regression RSM model has an R2 value of 91.35 percent and accurately predicts the system response. It has been discovered that the proposed SU-LA method outperforms the HS bio-inspired algorithm.