17 citations · 18 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.IT2024
Fair Resource Allocation For Hierarchical Federated Edge Learning in Space-Air-Ground Integrated Networks via Deep Reinforcement Learning with Hybrid Control
Chong Huang, Gaojie Chen, Pei Xiao +2
The space-air-ground integrated network (SAGIN) has become a crucial research direction in future wireless communications due to its ubiquitous coverage, rapid and flexible deploym…
cs.IT2024
Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach
Chong Huang, Gaojie Chen, Pei Xiao +3
In recent years, the amalgamation of satellite communications and aerial platforms into space-air-ground integrated network (SAGINs) has emerged as an indispensable area of researc…