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Title NOMA-based energy efficiency optimization of UAV Communications using metaheuristic techniques

Author(s) Rahat Ullah

Abstract Unmanned Aerial Vehicles (UAVs) have become critical communication platforms in diverse applications, including telemetry, agriculture, disaster response, and military operations, particularly in remote and challenging environments. Often deployed as aerial base stations, UAV communication systems require optimization of key performance metrics like sum rate, coverage area, transmission power, network capacity, and energy efficiency. While prior research has focused on optimizing altitude and power allocation for energy efficiency, it has largely overlooked the potential of user-pairing. This thesis addresses this research gap by proposing a joint optimization framework to optimize user pairing and altitude optimization in NOMA-based UAV communication systems. By leveraging metaheuristic optimization techniques, this study compares the efficacy of the proposed metaheuristic approaches with the conventional OMA and the NOMA benchmark schemes such as worst and random pairing to maximize the energy efficiency of NOMA-based UAV communication systems. The effectiveness of the proposed schemes has been evaluated under various scenarios, which include varying the coverage region from 100 meters to 500 meters, the SNR from 0 dB to 30 dB, the number of users from 10 to 100, as well as suburban, urban, and dense urban environments. The PSO-based NOMA outperforms and achieves an overall performance improvement of 51% as compared to OMA, 28% to worst pairing, 23% to random pairing, and 7% to GA-based NOMA.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Engineering

Language English

Publication Date 2024-11-20

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