4.6 Article

Joint Trajectory and Power Optimization for UAV Sensing Over Cellular Networks

Journal

IEEE COMMUNICATIONS LETTERS
Volume 22, Issue 11, Pages 2382-2385

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2018.2868075

Keywords

Unmanned aerial vehicle; trajectory optimization; energy efficiency

Funding

  1. National Nature Science Foundation of China [61625101]

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In this letter, we study a cellular unmanned aerial vehicle (UAV) system in which one UAV jointly performs sensing tasks and data transmission to the base station. We maximize the energy efficiency (EE) of the UAV by optimizing UAV sensing and transmission. To solve this non-convex problem, we decouple it into two subproblems: UAV sensing optimization and UAV transmission optimization. In the UAV sensing optimization, we design the UAV trajectory and speed with convex optimization and differential methods. In the UAV transmission optimization, the transmission power is derived by the extremum principles. Simulation results show that the proposed algorithm can efficiently improve the EE in the cellular UAV system.

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