AI/ML in Wireless
AI/ML in Wireless
Research Overview
Advances in wireless communications provide a unique opportunity for the next frontier of AI: making connected intelligence mobile and pervasive. At the same time, advances in AI can revolutionize wireless networks with data driven methods to run complex networks and advanced communication techniques of the future. NYU Wireless researchers are advancing both AI for wireless and wireless for AI. Our work includes ML methods for beamforming in mmWave, massive data channel modeling, connected AI services for wearables, and AI-oriented compression.
Research Topics
ML for CSI Feedback
Research Overview In this project, we analyze the tradeoff between the CSI feedback overhead and the performance achieved by the users in FDD MIMO systems in terms of achievable ra
Assisted Robot Navigation
Research Overview The millimeter wave (mmWave) bands have attracted considerable attention for high precision localization applications due to the ability to capture high angular a
5G Connected Intelligent Wearables for People with Blindness and Low-Vision
Research Overview Statistical channel models are essential for the design and evaluation of any wireless system. Accurately generating channel models for modern wireless systems is