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Low-Complexity Algorithm for Minimum Rate Maximization in UAV-Enabled OFDMA Networks
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- Authors
- Jae Cheol Park, Minje Kim, Kyu-Min Kang, Jungick Moon, Junil Choi
- Issue Date
- 2025-07
- Citation
- IEEE Wireless Communications Letters, v.권호미정, pp.1-5
- ISSN
- 2162-2337
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- In this letter, we consider an unmanned aerial vehicle (UAV)-enabled orthogonal frequency division multiple access (OFDMA) network, where the UAV flies and hovers along the predefined trajectory to transmit data to the clustered users on the ground. We propose a resource allocation algorithm, consisting of the transmit power and the subcarrier allocation (TSA) and the hovering time allocation (HTA), to maximize the minimum rate under the transmit power constraint. To reduce computational complexity while balancing user rate performance, the TSA iteratively reallocates the transmit power and the subcarrier between users with the maximum and the minimum rates within each cluster. Subsequently, the HTA reassigns the hovering time between users from different clusters with the maximum and the minimum rates to balance inter-cluster performance. Simulation results show that the proposed algorithm effectively improves the minimum rate with reduced complexity, even in the OFDMA networks with a large number of subcarriers.