2026· Journal of Communications· 0 citations· 23 references
Abstract
— Unmanned Aerial Vehicles (UAVs) have emerged as flexible relay platforms capable of enhancing wireless connectivity in beyond-5G and 6G networks. This paper investigates the joint optimization of UAV trajectory and power allocation to maximize end-to-end throughput under practical mobility and power constraints. The problem is highly non-convex due to the strong coupling between trajectory variables and transmission power. To address this challenge, we develop a penalty-based metaheuristic framework that incorporates a constraint-handling mechanism into the Bat Algorithm (BAT). Simulation results show that the proposed BAT-based approach achieves significant throughput improvement, efficient power allocation, and fast convergence compared with baseline convex optimization and heuristic schemes. These findings highlight the potential of BAT for reliable and energy-efficient UAV-assisted communication in future wireless networks.
Unmanned Aerial Vehicles (UAVs) are promising relay platforms due to their flexible deployment and high probability of line-of-sight (LoS) connectivity. This paper compares three deep reinforcement learning (DRL) algorithms-Proximal Policy Optimization (PPO), Soft Actor-Critic (SAC), and Recurrent PPO with LSTM memory-...
Aniket Subbanwar, Ojas Joshi, Amit Agarwal· International Conference on...· 0 citations
This paper proposes a joint optimization algorithm for trajectory control and task offloading ratios based on multi-agent deep reinforcement learning. By jointly optimizing the flight trajectories of unmanned aerial vehicles (UAVs), user scheduling strategies, and task offloading ratios, the decoupled coordination of r...
Simulation results validate the effectiveness of the proposed OP approximation, demonstrate the significant outage capacity improvement of the proposed robust optimization schemes over benchmark schemes, and illustrate the superiority of the IWS-based scheme over the CE-based scheme.
Yifan Jiang, Qing-Bin Wu, Hongxun Hui et al.· 0 citations
This letter considers a secure multi-uncrewed aerial vehicle (UAV) enabled over-the-air computation (AirComp) system, where multiple UAVs cooperatively transmit data to a ground fusion center (FC) via AirComp under eavesdropping threats. To achieve reliable and secure aggregation, we jointly optimize the UAV transmit p...
Jianping Yao, Yuxia Gong, Sunan Wang et al.· IEEE Wireless Communications...· 0 citations
In temporary emergency communication coverage scenarios where terrestrial communication infrastructure is damaged or lacks sufficient capacity, UAVs equipped with base stations have emerged as an effective solution due to their flexible deployment and rapid response capability. However, in multi-UAV networks, the three...
Gui-Fen Chen, Ruiyang Liu· Digital Signal and Computer...· 0 citations
This letter addresses the scenario where uncrewed aerial vehicles (UAVs) perform covert transmission in three-dimensional (3D) space against ground Willie (GW). Aiming to maximize the minimum throughput among ground users (GUs) while ensuring fairness, we first derive the UAV transmit power subject to covertness constr...
