A hierarchical Graph Attention Transformer-Proximal Policy Optimization (GAT-PPO) framework is proposed, where a high-level agent selects aggregation nodes and a low-level agent performs packet-level routing and offset control.
Flying ad-hoc networks (FANETs) offer great potential in agriculture, logistics, and surveillance due to their flexible deployment. However, high mobility poses significant challenges in energy management. To address this, this study focuses on FANETs using rate-splitting multiple access (RSMA) and proposes a multi-age...
Xin-Yi Yang, Yi-Wei Zhang, Gang He et al.· IEEE International Symposium...· 0 citations
Hierarchical federated learning (HFL) in the Internet of Vehicles (IoV) faces challenges in participation reliability and aggregation efficiency due to vehicle mobility and resource heterogeneity. This paper investigates joint vehicle selection and resource allocation in a three-tier HFL architecture. In this framework...
Zhen Yang, Li-Hang Wen, Wei-Jing Qi et al.· Italian National Conference...· 0 citations
Low Earth orbit (LEO) satellite systems are expected to deliver ubiquitous broadband connectivity, but their dynamic topology and limited on-board resources challenge beam hopping (BH) scheduling and inter-satellite load balancing. This paper proposes a multi-satellite cooperative BH algorithm based on multi-agent flow...
Sheng-Tong Xie, Cheng Wang, Gao-Feng Cui et al.· International Symposium on N...· 0 citations
Low Earth Orbit (LEO) constellations provide essential data transmission channels for ground-based edgecloud computing in 6G Space-Air-Ground Integrated Networks (SAGIN). Routing data for these delay-sensitive tasks requires inter-satellite routing to efficiently manage backhaul timeliness and limited onboard energy. H...
Chuan-Qi Guo, Zhi-Xian Tang, Li Yang et al.· 2026 IEEE 22nd International...· 0 citations
With the development of AI-native radio access network (RAN), multi-unmanned aerial vehicle (UAV) cooperative wireless data collection based on multi-agent deep reinforcement learning (MADRL) has attracted wide attention. Existing studies rarely model the combined effects of multiple obstacles, interference, and dynami...
Zhen-Jia Xu, Nan Qi, Sa Xiao et al.· IEEE International Symposium...· 0 citations
Uncrewed aerial vehicle (UAV)-assisted networks provide a versatile paradigm for on-demand connectivity. However, in multi-operator aerial networks (MOANs), the joint optimization of cooperative resource sharing and 3D trajectory control to maintain information freshness is a complex combinatorial problem, which can be...
Atefeh Hajijamali Arani, M. Shirvanimoghaddam, A. Mehbodniya et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
