Trajectory Optimization and Power Allocation for Multi-Hop UAV Relaying Communications

• Published in: IEEE access Vol. 6; pp. 48566 - 48576
• Main Authors: Zhang, Guangchi, Yan, Haiqiang, Zeng, Yong, Cui, Miao, Liu, Yijun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Collision avoidance; Computational geometry; Convexity; Iterative algorithms; Iterative methods; Line of sight communication; multi-hop relaying; Optimization techniques; power allocation; Relaying; Relays; Resource management; Spread spectrum communication; Trajectory optimization; UAV communication; Unmanned aerial vehicles; Wireless communication; Wireless communications
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2018.2868117

Unmanned aerial vehicles (UAVs) have found important applications in wireless communications due to their ability for on-demand and swift deployment, high mobility, and high probability of line-of-sight communication link with the ground. For UAV-enabled wireless communications, one of the main use cases is UAV relaying, where UAVs are deployed as flying relays in the sky to provide wireless connections between distant users that do not have reliable direct connectivity. This paper considers a general multiple UAV relaying system, where the information from a source node to a destination node is forwarded through multi-hop UAV relays. We aim to maximize the end-to-end throughput via joint UAV trajectory and transmit power optimization, subject to UAV mobility and collision avoidance constraints, the information-causality constraints, and the average and peak transmit power constraints of the source and UAV relays. The formulated problem is non-convex and challenging to solve, hence we propose an efficient iterative algorithm to obtain a suboptimal solution based on the alternating maximization and successive convex optimization techniques. Numerical results validate the effectiveness of the proposed algorithm as compared to three benchmark schemes with only transmit power allocation or trajectory optimization.