The rapid evolution of swarm intelligence and edge computing has highlighted the potential of Uncrewed Aerial Vehicle (UAV) swarms for data-driven services. However, heterogeneous capabilities and time-varying communication conditions pose significant challenges for efficient resource orchestration. This letter proposes a novel method for joint communication topology formation and computation offloading in heterogeneous UAV networks to optimize task completion time and energy consumption. A graph attention network is employed for swarm feature extraction, and the communication topology and task offloading ratios are determined by proximal policy optimization. Successive convex approximation is further applied for bandwidth and power allocation. Simulation results demonstrate that the proposed framework effectively reduces task completion time and energy consumption compared with other benchmarks.
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...
This paper analyzes the factors affecting communication interactions between UAVs and proposes a bidding-based grouping method to eliminate ineffective communication interactions, and introduces a network simplification algorithm based on reducing the number of triangular network topologies to optimize the communicatio...
Wei-Xing Xia, Peng Chen, Fei-Fei Song et al.· Drones· 0 citations
A joint communication–computation optimization (JCCO) framework for energy-efficient resource allocation in edge-assisted swarm robotics that achieves improved fairness, lower communication overhead, and efficient embedded deployment suitability for TinyML-enabled robotic platforms.
Amir Ijaz, Hashem Haghbayan, E. Nigussie et al.· Journal of Sensor and Actuat...· 0 citations
High-performance networking is essential for Unmanned Aerial Vehicle (UAV) swarms to accomplish complex, coordinated missions. A central challenge in UAV swarm networking is managing concurrent multi-hop transmissions, where traditional protocols often struggle due to routing path conflicts and co-channel interference....
Yang Shen, Bing Li, Rong-Qing Zhang· IEEE Transactions on Wireles...· 0 citations
— 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...
Trang Thi Quynh Pham· Journal of Communications· 0 citations
A UAV motion-aware image capturing and communication system that dynamically optimizes data offloading by jointly considering scenario variability and communication resource allocation and a fast learning-based optimization algorithm (FLO-MICC).
