2k citations · 8.2k across the 89 of their papers we have counts for
4 papers · 2 filters
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
Wei Cui, Wei Yu
This paper proposes a novel scalable reinforcement learning approach for simultaneous routing and spectrum access in wireless ad-hoc networks. In most previous works on reinforceme…
Grant-Free Access via Bilinear Inference for Cell-Free MIMO with Low-Coherent Pilots
Hiroki Iimori, Takumi Takahashi, Koji Ishibashi +2
We propose a novel joint activity, channel, and data estimation (JACDE) scheme for cell-free multiple-input multiple-output (MIMO) systems compliant with fifth-generation (5G) new…
Learning to Reflect and to Beamform for Intelligent Reflecting Surface with Implicit Channel Estimation
Tao Jiang, Hei Victor Cheng, Wei Yu
Intelligent reflecting surface (IRS), which consists of a large number of tunable reflective elements, is capable of enhancing the wireless propagation environment in a cellular ne…
Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks
Mohamed Sana, Antonio De Domenico, Wei Yu +2
Network densification and millimeter-wave technologies are key enablers to fulfill the capacity and data rate requirements of the fifth generation (5G) of mobile networks. In this…