Nov. 2023 Ph.D. students João Morais and Gouranga Charan successfully organized the machine learning competition “Multi-Modal Beam Prediction Challenge 2023” based on DeepSense 6G V2V data. The competition has come to an end, and the winners will be revealed soon.
Nov. 2023 Ph.D. student Tawfik Osman presented his paper “Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration” at Asilomar. Ph.D. student Umut Demirhan presented his paper “Cell-free Joint Sensing and Communication MIMO: A Max-Min Fair Beamforming Approach” at Asilomar.
Oct. 2023 The paper “Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems” has been accepted to IEEE Transactions on Wireless Communications.
Aug. 2023 The paper “Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios” is available on arXiv.
Aug. 2023 The paper “Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation” has been accepted to IEEE Transactions on Communications.
Jul. 2023 DeepSense 6G V2V Dataset has been published!
Jul. 2023 Four papers have been accepted to the Asilomar Conference on Signals, Systems, and Computers 2023. Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration STEER+: Robust Beam Refinement for Full-Duplex Millimeter Wave Communication Systems using Off-the-Shelf 60 GHz Radios Cell-free Joint Sensing and Communication MIMO: A Max-Min Fair Beamforming Approach Integrated Imaging […]
Jul. 2023 Ph.D. students Shuaifeng Jiang and Hao Luo have won the Qualcomm Innovation Fellowship.
Jun. 2023 The paper “Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond” has been accepted to IEEE Communications Magazine.
Jun. 2023 The paper “Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds” is available on arXiv.