1 citations · 1 across the 4 of their papers we have counts for
4 papers
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks
Huaisheng Ye, Xiaowen Ye, Liqun Fu
Long propagation delays in underwater acoustic networks (UWANs) cause spatio-temporal uncertainty, constraining channel utilization in medium access control (MAC) protocols. Node m…
Integrated Sensing and Communications for Low-Altitude Economy: A Deep Reinforcement Learning Approach
Xiaowen Ye, Yuyi Mao, Xianghao Yu +3
This paper studies an integrated sensing and communications (ISAC) system for low-altitude economy (LAE), where a ground base station (GBS) provides communication and navigation se…
Digital Twin Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems
Xiaowen Ye, Xianghao Yu, Liqun Fu
Intelligent omni-surface (IOS) is a promising technique to enhance the capacity of wireless networks, by reflecting and refracting the incident signal simultaneously. Traditional I…
The optimal network throughputs when the model-aware node coexists with other nodes using different MAC protocols
Xiaowen Ye, Yiding Yu, Liqun Fu
In this document, we give the optimal network throughput when the DR-DLMA node (see our paper for definition) coexists with the nodes using other protocol (e.g., TDMA and/or ALOHA)…