31 citations · 69 across the 36 of their papers we have counts for
7 papers · 1 filter
Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes
Dong Liu, Jingjing Cui, Jiankang Zhang +2
Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their high-dynamic topology. In this paper, we invoke deep reinforcement learning for routing in…
FoV Privacy-aware VR Streaming
Xing Wei, Chenyang Yang
Proactive tile-based virtual reality (VR) video streaming can use the trace of FoV and eye movement to predict future requested tiles, then renders and delivers the predicted tiles…
Spatial Privacy-aware VR streaming
Xing Wei, Chenyang Yang
Proactive tile-based virtual reality (VR) video streaming employs the current tracking data of a user to predict future requested tiles, then renders and delivers the predicted til…
Privacy-aware VR streaming
Xing Wei, Chenyang Yang
Proactive tile-based virtual reality (VR) video streaming employs the current tracking data of a user to predict future requested tiles, then renders and delivers the predicted til…
Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users
Jianyu Zhao, Chenyang Yang
Deep reinforcement learning has been applied for a variety of wireless tasks, which is however known with high training and inference complexity. In this paper, we resort to deep d…
Federated Learning Based Proactive Handover in Millimeter-wave Vehicular Networks
Kaiqiang Qi, Tingting Liu, Chenyang Yang
Proactive handover can avoid frequent handovers and reduce handover delay, which plays an important role in maintaining the quality of service (QoS) for mobile users in millimeter-…