Patent for AI-Driven Wireless Beam Management
ECE Assistant Research Professor Michele Polese, Assistant Professor Francesco Restuccia, and William Lincoln Smith Professor Tommaso Melodia were awarded a patent for “Coordination-free mmWave beam management with deep waveform learning.”
Abstract Source: USPTO
A system and method for beam management in a wireless network are provided. A learning module having a trained classification module processes received I/Q input samples to determine transmitted beam information of incoming RF transmissions. The learning module includes a beam inference engine to determine waveforms waveform characteristics of incoming RF transmissions beams, and an angle of arrival engine operative to determine an angle of arrival of the incoming RF transmissions beams on an antenna array. An incoming RF transmission beam and angle of arrival are selected based on the determined waveforms for beam management operations.
