News-Nov-2022-2
Nov. 2022 The paper “Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction” is available on arXiv.
News-Nov-2022-1
Nov. 2022 The paper “Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based Fast Beam Selection” is available on arXiv.
News-Oct-2022-3
Oct. 2022 The paper “User Identification: The Key Enabler for Multi-User Vision-Aided Wireless Communications” is available on arXiv.
News-Oct-2022-2
Oct. 2022 Ph.D. student Yu Zhang has won the “ASILOMAR 2022 Best Paper Award (Second Place)” for his paper “Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems“.
News-Oct-2022-1
Oct. 2022 The paper “LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications” has been accepted to IEEE Wireless Communication Letters.
News-Sep-2022-4
Sep. 2022 The paper “Sensing Aided OTFS Channel Estimation for Massive MIMO Systems” is available on arXiv.
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.