Optimally diverse communication channels in disordered environments with tuned randomness

Author:  ["Philipp del Hougne","Mathias Fink","Geoffroy Lerosey"]

Publication:  Nature Electronics

CITE.CC academic search helps you expand the influence of your papers.

Tags:     Electronics

Abstract

Multichannel wireless systems have become a standard solution to address our information society’s ever-increasing demand for information transfer. The capacity that such systems can achieve is ultimately limited by the channel diversity in a given propagation medium, and numerous approaches to reduce channel cross-talk by engineering software or hardware details of the signals and antenna arrays have been proposed. Here we show that optimal channel diversity can be achieved by physically shaping the propagation medium itself. Using a reconfigurable metasurface placed inside a random environment, we tune the disorder and impose perfect orthogonality of wireless channels. We report experiments in the microwave domain in which we impose equal weights of the channel matrix eigenvalues for up to 4 × 4 systems, and almost equal weights in larger systems. We also demonstrate enhanced wireless image transmission in an office room in which we augmented the 3 × 3 system’s number of effectively independent channels from two to the optimum of three. Perfect orthogonality can be imposed on wireless communication channels by using reconfigurable metasurfaces to tune the disorder of their propagation environment.

Cite this article

del Hougne, P., Fink, M. & Lerosey, G. Optimally diverse communication channels in disordered environments with tuned randomness. Nat Electron 2, 36–41 (2019). https://doi.org/10.1038/s41928-018-0190-1

View full text

>> Full Text:   Optimally diverse communication channels in disordered environments with tuned randomness

Three-dimensional piezoelectric polymer microsystems for vibrational energy harvesting, robotic inte

Fully implantable optoelectronic systems for battery-free, multimodal operation in neuroscience rese