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

Sep. 2024

The paper “Zone-Specific CSI Feedback for Massive MIMO: A Situation-Aware Deep Learning Approach” has been accepted to the IEEE Wireless Communications Letters.

Jul. 2024

The paper “Pixel-Level GPS Localization and Denoising using Computer Vision and 6G Communication Beams” has been accepted to the IEEE Globecom 2024.

Jun. 2024
Mar. 2024

The paper “Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds” has been accepted to the IEEE Transactions on Aerospace and Electronic Systems.

Mar. 2024

The paper “Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting” has been accepted to the IEEE ICC Workshops 2024.

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Support

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

remcom
Nokia