English

Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces

Information Theory 2019-11-22 v1 math.IT

Abstract

A communication link aided by a Reconfigurable Intelligent Surface (RIS) is studied, in which the transmitter can control the state of the RIS via a finite-rate control link. Prior work mostly assumed a fixed RIS configuration irrespective of the transmitted information. In contrast, this work derives information-theoretic limits, and demonstrates that the capacity is achieved by a scheme that jointly encodes information in the transmitted signal as well as in the RIS configuration. In addition, a novel signaling strategy based on layered encoding is proposed that enables practical successive cancellation-type decoding at the receiver. Numerical experiments demonstrate that the standard max-SNR scheme that fixes the configuration of the RIS as to maximize the Signal-to-Noise Ratio (SNR) at the receiver is strictly suboptimal, and is outperformed by the proposed strategies at all practical SNR levels.

Keywords

Cite

@article{arxiv.1911.09443,
  title  = {Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces},
  author = {Roy Karasik and Osvaldo Simeone and Marco Di Renzo and Shlomo Shamai},
  journal= {arXiv preprint arXiv:1911.09443},
  year   = {2019}
}

Comments

To be submitted for conference publication

R2 v1 2026-06-23T12:23:19.203Z