Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning

Understand

Employing large intelligent surfaces (LISs) is a promising solution for improving the coverage and rate of future wireless systems.

• These surfaces comprise a massive number of nearly-passive elements that interact with the incident signals, for example by reflecting them, in a smart way that improves the wireless system performance.
• Prior work focused on the design of the LIS reflection matrices assuming full knowledge of the channels.
• Estimating these channels at the LIS, however, is a key challenging problem, and is associated with large training overhead given the massive number of LIS elements.