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6G Mobile Communication Performance Enhancement Using Cooperative NOMA and Caching | ||
| Al-Rafidain Engineering Journal (AREJ) | ||
| Volume 30, Issue 1, March 2025, Pages 135-149 PDF (894.48 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/arej.2024.153592.1374 | ||
| Authors | ||
| Salar Ismael ahmed* 1; siddeeq y.ameen* 2 | ||
| 1Information System Engineering Department, Erbil Technical Collage, Erbil Polytechnic University, Erbil, Iraq | ||
| 2Energy Engineering Department, Duhok Polytechnic University, Duhok, Iraq | ||
| Abstract | ||
| Mobile communication networks in 6G with emerging applications and standards introduce demands for an increasingly intelligent network, smart services based on the Internet of Everything (IoE), extremely low latency, fast network connection, lower power, and support for a large number of different communication services. These demands require advanced techniques to improve and enhance the performance and efficiency in the 6G mobile communication network systems. The paper proposed a technique that combines C-NOMA with caching as a dynamic resource allocation among users and relay nodes is used to enhance and optimize performance and efficiency of 6G mobile communication networks. The results have shown promise in maximizing throughput, minimizing latency, and optimizing resource efficiency. Caching reduces access latency and network congestion by making use of the idea of keeping frequently requested content closer to users. Through dynamic adjustments to user clustering and resource distribution within clusters, the system may maximize utilization of resources and reduce interference, resulting in enhanced system efficiency and performance. The simulation results with the aid of MATLAB (V 2022a) demonstrate the enhancements of 6G mobile communication networks achieved by C-NOMA with caching compared to all systems through the improvement in latency, sum rate, and throughput the investigation of different cases of 6G mobile communication networks environments and compared with the same cases in traditional NOMA. | ||
| Keywords | ||
| 6G; C-NOMA; caching; dynamic resource allocation; D2D | ||
| References | ||
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