Secure UAV Communication Optimization using Multi-Objective Resource Allocation

• Liuying Zhou,
• Yuanyuan Wang,
• Jinhong Bian,

Vol. 19, No. 6, June 30, 2025
10.3837/tiis.2025.06.016, Download Paper (Free):

• UAV
• SWIPT
• secure communication
• Multi-objective optimization
• weighted Tchebycheff method

Abstract

In this work, we investigate the multi-objective optimization (MOO) in secrecy unmanned aerial vehicle (UAV)-aided communication network. Specifically, we aim to achieve the tradeoff between different performance aspects, e.g., the secrecy rate, the transmit power consumption, and the harvested energy. To obtain a Pareto optimal policy for the MOO problem, we develop a weighted Tchebycheff method, where the optimal solution for each individual objective is achieved by the alternating optimization (AO) and successive convex approximation (SCA) technique. Simulation results demonstrate the superiority of the proposed schemes, and reveals insightful tradeoff of the MOO design.

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