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. 


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


Mar. 2024

The paper “Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting” has been accepted to IEEE ICC Workshops 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

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.
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 “Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation” has been accepted to IEEE Transactions on Communications.

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The Wireless Intelligence Lab is grateful for the support it is receiving from the following organizations