News-Mar-2023-1
Mar. 2023 Five papers have been accepted to the IEEE ICC Workshops 2023. Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction Sensing Aided OTFS Channel Estimation for Massive MIMO Systems Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality? A Digital Twin Assisted Framework for […]
News-Feb-2023-3
Feb. 2023 The paper “Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction” is available on arXiv.
News-Feb-2023-2
Feb. 2023 Ph.D. students Umut Demirhan and João Morais are named as The IEEE Transactions on Communications Exemplary Reviewers, an honor for their TCOM review contributions in 2022.
News-Feb-2023-1
Feb. 2023 Abhradeep Roy joined the Wireless Intelligence Lab at ASU as an M.S. student.
News-Jan-2023-3
Jan. 2023 Abdelrahman Taha successfully defended his Ph.D. dissertation and joined Qualcomm R&D San Diego. Congratulations!
News-Jan-2023-2
Jan. 2023 Three papers have been accepted to the IEEE ICC 2023. Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are? Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based Fast Beam Selection Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation
News-Jan-2023-1
Jan. 2023 Shoaib Imran started his Ph.D. in Electrical Engineering at Arizona State University and joined the Wireless Intelligence Lab.
News-Dec-2022-1
Dec. 2022 The paper “Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems” has been accepted to IEEE Wireless Communication Letters.
News-Nov-2022-7
Nov. 2022 The paper “Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation” is available on arXiv.
News-Nov-2022-6
Nov. 2022 The paper “Device-Agnostic Millimeter Wave Beam Selection using Machine Learning” is available on arXiv.