We investigate the integration of imaging capabilities into future-generation wireless communication networks, transforming them into smart-perceptual networks. Our work focuses on developing a fundamental foundation as well as practical designs that frame wireless imaging at the confluence of these four main concepts: new spectrum opportunities, massive MIMO, hybrid/digital beamforming, and machine learning. We explore the joint performance limits and trade-offs of these concepts within networked environments under the following thrusts:
Theoretical Foundations
Experimental Testbeds
Broader Scientific Impacts
