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20202026
most citedDelay Constrained Buffer-Aided Relay Selection in the Internet of Things with Decision-Assisted Reinforcement Learning

3 citations · 5 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

eess.SP2024

Deep Learning-Based Traffic-Aware Base Station Sleep Mode and Cell Zooming Strategy in RIS-Aided Multi-Cell Networks

Shuo Sun, Chong Huang, Gaojie Chen +2

Advances in wireless technology have significantly increased the number of wireless connections, leading to higher energy consumption in networks. Among these, base stations (BSs)…

cs.IT2024

Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks

Chong Huang, Xuyang Chen, Gaojie Chen +3

In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-groun…

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

Reconfigurable Intelligent Surface Empowered Full Duplex Systems: Opportunities and Challenges

Chong Huang, Yun Wen, Long Zhang +3

Reconfigurable intelligent surfaces (RISs) have emerged as a promising technology in wireless communications. Simultaneously transmitting and reflecting RIS (STAR-RISs) in particul…

cs.IT2024

Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities

Peng Xu, Gaojie Chen, Jianping Quan +4

Buffer-aided cooperative networks (BACNs) have garnered significant attention due to their potential applications in beyond fifth generation (B5G) or sixth generation (6G) critical…

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…