Hassan, Mohamed Ibren and Hamid, Khalid and Hassan, Elmuntaser and Saeed, Rashid A. and Elbasheir, Mohammed S. and Khalifa, Othman Omran (2026) Machine learning-enhanced power allocation for mMIMO-NOMA systems in 6G networks. In: 2025 10th International Conference on Computer and Communication Engineering (ICCCE), 26-27 August 2025, KOE, IIUM.
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Abstract
To enhance swift, wide communications with low latency, it is essential to address the challenges posed by emerging 6G technology. These concerns encompass the necessity to expand the frequency spectrum and augment the capacity while minimizing resource expenditures and delay. A novel strategy is suggested to enhance spectrum efficiency (SE), latency, and fairness by integrating dynamic reconfigurable intelligent surfaces (RIS) into downlink (DL) non-orthogonal multiple access (NOMA) power domain (PD) systems utilizing massive multiple-input, multiple-output (mMIMO) technology within the framework of 6G wireless networks. The system's scalability is evaluated to ensure optimal performance across various situations as the user count and SNR levels rise. Employed a distinctive optimization strategy to allocate power among users, effectively utilizing the water-filling logarithmic. The findings demonstrate that the incorporation of dynamic RIS in the mMIMO DL NOMA PD system markedly enhances SE, reduces latency, and improves fairness. The implementation of the proposed logarithmic method has demonstrated significant efficacy in power allocation, enhancing system capabilities while optimizing SE, latency, and fairness. The results provide essential insights for improving future wireless communication systems, and in accordance with the predicted equation, the Monte Carlo findings demonstrate that our work is precise and dependable.
| Item Type: | Proceeding Paper (Plenary Papers) |
|---|---|
| Uncontrolled Keywords: | Spectrum Efficiency (SE), massive MIMO, NOMA, Reconfigurable Intelligent Surfaces (RIS). |
| Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering |
| Depositing User: | Prof. Dr Othman O. Khalifa |
| Date Deposited: | 18 May 2026 15:00 |
| Last Modified: | 18 May 2026 15:00 |
| Queue Number: | 2026-05-Q3364 |
| URI: | http://irep.iium.edu.my/id/eprint/129007 |
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