TỐI ƯU QUỸ ĐẠO VÀ CÔNG SUẤT TRONG HỆ THỐNG THÔNG TIN CÓ UAV HỖ TRỢ BẰNG THUẬT TOÁN TÌM KIẾM NGẪU NHIÊN

Tóm tắt

In this paper, we propose a joint trajectory and transmit power optimization framework for a UAV-assisted communication system employing a Decode-and-Forward (DF) relay protocol. The objective is to maximize the cumulative achievable rate while satisfying instantaneous transmit power and mobility constraints. The UAV moves from a predefined initial position to a fixed destination and acts as an aerial relay between a ground source and destination. A Random Search (RS)-based algorithm is developed to jointly optimize the UAV trajectory and per-step power allocation over discrete time intervals. The proposed approach is compared with a conventional straight-line baseline with fixed maximum transmit power. Simulation results show that the RS-based method improves cumulative spectral efficiency by 14.58% while satisfying all constraints and reducing average transmit power. These results confirm that the proposed framework provides an effective and computationally efficient solution for UAV-assisted wireless communications in environments with position-dependent channel impairments