5 papers
QoE-Aware Service Function Chain Orchestration in Space-Air-Ground Integrated Networks for In-Flight Internet
Feng Liu, Bing Du, Ziyang Guo +2
In remote regions lacking terrestrial infrastructure, aviation users increasingly demand Internet services comparable to ground cellular networks. This paper proposes a space-air-g…
Learning Multi-Access Point Coordination in Agentic AI Wi-Fi with Large Language Models
Yifan Fan, Le Liang, Peng Liu +5
Multi-access point coordination (MAPC) is a key technology for enhancing throughput in next-generation Wi-Fi within dense overlapping basic service sets. However, existing MAPC pro…
Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs
Jiaming Yu, Le Liang, Chongtao Guo +3
This paper investigates the use of multi-agent reinforcement learning (MARL) to address distributed channel access in wireless local area networks. In particular, we consider the c…
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals
Yulin Shao, Yucheng Cai, Taotao Wang +4
We consider the problem of autonomous channel access (AutoCA), where a group of terminals tries to discover a communication strategy with an access point (AP) via a common wireless…
Deep Learning Based MAC via Joint Channel Access and Rate Adaptation
Jiantao Xin, Wensen Xu, Yucheng Cai +5
The existing medium access control (MAC) protocol of Wi-Fi networks (i.e., carrier-sense multiple access with collision avoidance (CSMA/CA)) suffers from poor performance in dense…