MA1a.4

Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding

Hao Luo, Ahmed Alkhateeb, Arizona State University, United States
Session:
MA1a: Machine Learning for Communications Lecture
Track:
Communication Systems
Location:
Heather
Presentation Time:
Mon, 28 Oct, 09:30 - 09:55 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MA1a
MA1a.1: Multi-Modal Sensing and Communication for V2V Beam Tracking via Camera and GPS Fusion
Mattia Fabiani, University of Bologna, Italy; Diego Silva, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil, King Abdullah University of Science and Technology (KAUST), Saudi Arabia
MA1a.2: Adaptive Control of MIMO UAVs for Prioritized Harvesting via Hierarchical Reinforcement Learning
Bharath Keshavamurthy, Nicolo Michelusi, Arizona State University, United States
MA1a.3: Artificial Intelligence and Machine Learning Based Beam Prediction in 5G-Advanced and 6G Communications
Qiaoyu Li, Qualcomm Wireless Communication Technonologies (China) Limited, China; Philip Sisk, Arumugam Kannan, Tao Luo, Taesang Yoo, Hamed Pezeshki, Mahmoud Taherzadeh Boroujeni, Qualcomm Technologies Inc., United States
MA1a.4: Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding
Hao Luo, Ahmed Alkhateeb, Arizona State University, United States
Contacts