Our Research Builds the Next-Generation
AI-Powered Sensing and Communications Systems
Directed by Prof. Ahmed Alkhateeb, the Wireless Intelligence Lab focuses on leveraging signal processing and machine learning to address the key challenges of future wireless communication systems and enable new sensing and positioning capabilities. We develop enabling technologies, mathematically evaluate their theoretical limits, build proof-of-concept hardware prototypes, and demonstrate the developed solutions in real-world environments.
Announcement
We are always looking for highly-motivated Ph.D. students to join our lab. Interested students are encouraged to contact Prof. Alkhateeb with a brief resume.
Research Highlights
News
Mar. 2024
Mar. 2024
Jan. 2024
Jan. 2024
Two papers have been accepted to the IEEE ICC 2024.
Dec. 2023
The paper “User Identification: A Key Enabler for Multi-User Vision-Aided Communications” has been accepted to IEEE Open Journal of the Communications Society.
Nov. 2023
Nov. 2023
- Ph.D. student Tawfik Osman presented his paper “Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration” at Asilomar.
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Ph.D. student Umut Demirhan presented his paper “Cell-free Joint Sensing and Communication MIMO: A Max-Min Fair Beamforming Approach” at Asilomar.
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.
Support
The Wireless Intelligence Lab is grateful for the support it is receiving from the following organizations
