Citation

Halabouni, Murad and Roslee, Mardeni and Mitani, Sufian Mousa Ibrahim and Abujawa, Osama M.S. and Md Jizat, Noorlindawaty and Waseem, Athar (2024) Resource Allocation Scheme for NOMA in Mobile 4G/5G Communication Networks. In: 2024 Multimedia University Engineering Conference (MECON), 23-25 July 2024, Cyberjaya, Malaysia.

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Abstract

The potential of Non-Orthogonal Multiple Access (NOMA) technology in enhancing data rate performance in next-generation cellular networks, particularly when combined with Multiple Input Multiple Output (MIMO) and other emerging technologies. However, due to factors like channel gain, distance, varying channel conditions, and diverse user demands, this optimization process is complex due to the employed decoupling algorithms. Standalone algorithms are necessary to effectively balance the accuracy of user pairing, and power allocation, ensuring optimal performance of data rate for the MIMO-NOMA system. This work focuses on the investigation and analysis of NOMA-MIMO in order to optimize the resource allocation problems to enhance data rates in 5G networks. It examines recent research on NOMA-MIMO clustering, power allocation, and joint allocation schemes while identifying a promising research problem related to SINR parameter optimization in the context of NOMA Power Domain (NOMA-PD) with MIMO configuration. We introduce the Tabu search (TS) algorithm in downlink NOMA in order to optimize power allocation for each subchannel and to ensure proportional distribution of power among users on the same subchannel. TS employs a memory-based strategy to explore unvisited solutions within solution landscapes. Tabu search enhances data rate optimization by carefully managing tabu criteria and selecting the best-performing solutions concurrently. We compared our proposed TS with the numerical benchmark work and other metaheuristic algorithms that are applicable to various network optimization problems. Our proposed TS overcomes the challenges of conventional methods by employing different strategies and components, yielding high-quality solutions in complex solution spaces such as user pairing, channel power allocation, and power ratio. Our proposed TS offers lower complexity and utilizes explicit memory structures (tabu list), while numerical methods and type of metaheuristic algorithms tend to be more complex with implicit memory usage. TS converges relatively quickly, whereas convergence speed can vary in the conventional methods.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	5G,NOMA-MIMO, SINR, OMA
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	12 Feb 2025 05:36
Last Modified:	12 Feb 2025 05:36
URII:	http://shdl.mmu.edu.my/id/eprint/13430

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