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
The paper “DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset” is available on arXiv.
The paper “Digital Twin Aided RIS Communication: Robust Beamforming and Interference Management” is available on arXiv.
Ph.D. student Shuaifeng Jiang is interning at Meta in Summer 2024.
Ph.D. student João Morais is interning at Nvidia in Summer 2024.
Ph.D. student Hao Luo is interning at Nokia Bell Labs in Summer 2024.
The paper “Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding” is available on arXiv.
The paper “Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds” has been accepted to 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 IEEE ICC Workshops 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.
Support
The Wireless Intelligence Lab is grateful for the support it is receiving from the following organizations
