Trajectory Optimization and Power Allocation for UAV Alternate Relay Communications

Guangchi ZHANG; Jiao CHEN; Miao CUI; Wei CHEN; Jing ZHANG

doi:10.11999/JEIT200684

Volume 43 Issue 12

Dec. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(12): 3554-3562

ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, JIANG Xiaolei. Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1333-1339. doi: 10.11999/JEIT160750

Citation:

Guangchi ZHANG, Jiao CHEN, Miao CUI, Wei CHEN, Jing ZHANG. Trajectory Optimization and Power Allocation for UAV Alternate Relay Communications[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3554-3562. doi: 10.11999/JEIT200684

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Trajectory Optimization and Power Allocation for UAV Alternate Relay Communications

doi: 10.11999/JEIT200684

1.
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
2.
Institute of Environmental Geology Exploration of Guangdong Province, Guangzhou 510080, China
3.
China Academic of Electronics and Information Technology, Beijing 100043, China

Funds: The Science and Technology Plan Project of Guangdong Province (2017B090909006, 2018A050506015, 2019B010119001, 2020A050515010, 2020A0505100012), The Special Support Plan for High-Level Talents of Guangdong Province (2019TQ05X409)

Received Date: 2020-08-05
Rev Recd Date: 2021-04-05

Available Online: 2021-06-10

Publish Date: 2021-12-21

Abstract

Abstract

To improve the spectrum efficiency of the Unmanned Aerial Vehicle (UAV) relaying communication systems, a UAV alternate relay scheme is proposed, where two UAV relays alternately forward information from the source to the destination. To coordinate the interference among the two relaying data links, UAV trajectory and transmit power are investigated to maximize the end-to-end throughput of the UAV alternate relay system. The considered optimization problem is subject to the height, maneuver and collision avoidance constraints of the UAVs and the average and peak transmit power constraints of the source and UAV relays, which is non-convex and difficult to obtain the optimal solution. Nevertheless, an efficient iterative algorithm based on the alternating maximization and successive convex optimization techniques is proposed to obtain a suboptimal solution. Simulation results verify the effectiveness of the proposed algorithm.
- Unmanned Aerial Vehicle (UAV) communication,
- Alternate relay,
- Power allocation,
- Trajectory optimization

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References(20)

References

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