RadioLens: Seeing and Interacting with the Invisible Radio Environments

Wireless signals are invisible, and their propagation through the physical environment is inherently complex. Walls, furniture, people, and other objects block, reflect, diffract, and scatter radio waves, creating strong spatial variations in signal quality. Modern wireless systems further increase this complexity through wider bandwidth and directional beamforming. Since signal quality directly affects link reliability, throughput, and overall network performance, understanding radio propagation is essential for network deployment and debugging. Yet engineers typically observe only measurements such as signal strength, throughput, or packet loss at sampled locations, leaving them to infer the underlying spatial propagation process from sparse measurements and repeated experiments.