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cs.LG2025
Graph Neural Network Aided Deep Reinforcement Learning for Resource Allocation in Dynamic Terahertz UAV Networks
Zhifeng Hu, Chong Han
Terahertz (THz) unmanned aerial vehicle (UAV) networks with flexible topologies and ultra-high data rates are expected to empower numerous applications in security surveillance, di…
cs.LG2024
Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks
Zhifeng Hu, Chong Han, Wolfgang Gerstacker +1
Terahertz (THz) space communications (Tera-SpaceCom) is envisioned as a promising technology to enable various space science and communication applications. Mainly, the realm of Te…
cs.LG2023
Deep Reinforcement Learning Based Cross-Layer Design in Terahertz Mesh Backhaul Networks
Zhifeng Hu, Chong Han, Xudong Wang
Supporting ultra-high data rates and flexible reconfigurability, Terahertz (THz) mesh networks are attractive for next-generation wireless backhaul systems that empower the integra…