News-Sep-2022-3
Sep. 2022 The paper “Multi-Modal Beam Prediction Challenge 2022: Towards Generalization” is available on arXiv.The dataset is available on the ML competition page.
News-Sep-2022-2
Sep. 2022 The paper “Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment” has been accepted to the IEEE GLOBECOM Workshops 2022.
News-Sep-2022-1
Sep. 2022 The paper “Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave Deployments” has been accepted to the IEEE GLOBECOM Workshops 2022.
News-Aug-2022-4
Aug. 2022 Hao Luo started his Ph.D. in Electrical Engineering at Arizona State University and joined the Wireless Intelligence Lab.
News-Aug-2022-3
Aug. 2022 The paper “Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles” is available on arXiv.
News-Aug-2022-2
Aug. 2022 The paper “Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction” has been accepted to IEEE GLOBECOM 2022.
News-Aug-2022-1
Aug. 2022 The paper “Location- and Orientation-aware Millimeter Wave Beam Selection for Multi-Panel Antenna Devices” has been accepted to IEEE GLOBECOM 2022.
News-Jun-2022-3
Jun. 2022 The journal “Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware” has been published in IEEE Transactions on Communications.
News-Jun-2022-2
Jun. 2022 The journal “Enabling Cell-Free Massive MIMO Systems with Wireless Millimeter Wave Fronthaul” is published in IEEE Transactions on Wireless Communications.
News-Jun-2022-1
Jun. 2022 Ph.D. student João Morais has co-advised two graduate M.Sc. students