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
Nov. 2024
Two papers have been accepted to the IEEE Transactions on Communications.
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.
Sep. 2024
The paper “Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations” is available on arXiv.
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.
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 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.
Support
The Wireless Intelligence Lab is grateful for the support it is receiving from the following organizations
