Trajectory and Resource Optimization in Energy-Efficient 3D Coverage of Unmanned Aerial Vehicle

ZHAO Nan; HUANG Xianggang; DENG Na; ZOU Deyue

doi:10.11999/JEIT240151

Volume 46 Issue 9

Sep. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(9): 3553-3562

ZHAO Nan, HUANG Xianggang, DENG Na, ZOU Deyue. Trajectory and Resource Optimization in Energy-Efficient 3D Coverage of Unmanned Aerial Vehicle[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3553-3562. doi: 10.11999/JEIT240151

Citation:

ZHAO Nan, HUANG Xianggang, DENG Na, ZOU Deyue. Trajectory and Resource Optimization in Energy-Efficient 3D Coverage of Unmanned Aerial Vehicle[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3553-3562. doi: 10.11999/JEIT240151

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Trajectory and Resource Optimization in Energy-Efficient 3D Coverage of Unmanned Aerial Vehicle

doi: 10.11999/JEIT240151

School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China

Funds: The National Key R&D Program of China (2020YFB1807002), The National Natural Science Foundation of China (62371086, 62271099)

Received Date: 2024-03-07
Rev Recd Date: 2024-05-14

Available Online: 2024-05-22

Publish Date: 2024-09-26

Abstract

Abstract

Ubiquitous coverage will become the main form of 6G networks, and complete the deployment in the mountains, hills, deserts and other blind area, to achieve full-area wireless coverage. However, the large-scale deployment of terrestrial base stations in remote areas is extremely difficult. For this reason, combining Unmanned Aerial Vehicle (UAV) communications with Non-Orthogonal Multiple Access (NOMA) technology, an energy-efficient three-dimensional coverage scheme to maximize the energy efficiency of network throughput is proposed in this paper. First, the system model is established and a user pairing algorithm is proposed based on the K-Means algorithm and the Gale-Shapley algorithm. Then, after user pairing is completed, the initial problem is split into two optimization subproblems, which are transformed to convex respectively. Finally, the block coordinate ascent method is used to alternately optimize the UAV trajectory and transmit power to maximize the energy efficiency. Simulation results show that compared with benchmarks, the proposed scheme can significantly improve the throughput energy efficiency of air-ground networks under large-scale wireless coverage.
- Unmanned Aerial Vehicle (UAV),
- Non-Orthogonal Multiple Access (NOMA),
- Convex optimization,
- User pairing,
- Resource allocation

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References(20)

References

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