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Control Plane for Reconfigurable Intelligent Surfaces

Fabio Saggese, Victor Croisfelt, Kyriakos Stylianopoulos, George C. Alexandropoulos, Petar Popovski

TL;DR

This article explores design options for such a RIS-compatible control plane across two key dimensions: the allocation of spectral resources for the control plane (in-or out-of-band), and the rate selection for the data plane (multiplexing or diversity).

Abstract

Research on reconfigurable intelligent surfaces (RISs) has predominantly focused on purely physical (PHY)-layer aspects, particularly, on how signals are dynamically shaped by a controllable wireless propagation environment. However, integrating RISs as system-level network elements requires the development of an RIS-compatible control plane. In this article, we explore design options for such a control plane across two key dimensions: i) the allocation of spectral resources for the control plane (in- or out-of-band), and ii) the rate selection for the data plane (multiplexing or diversity). While our analysis is necessarily simplified, it reveals the fundamental trade-offs inherent in these design choices, which are crucial for integrating RIS technology into future networks.

Control Plane for Reconfigurable Intelligent Surfaces

TL;DR

This article explores design options for such a RIS-compatible control plane across two key dimensions: the allocation of spectral resources for the control plane (in-or out-of-band), and the rate selection for the data plane (multiplexing or diversity).

Abstract

Research on reconfigurable intelligent surfaces (RISs) has predominantly focused on purely physical (PHY)-layer aspects, particularly, on how signals are dynamically shaped by a controllable wireless propagation environment. However, integrating RISs as system-level network elements requires the development of an RIS-compatible control plane. In this article, we explore design options for such a control plane across two key dimensions: i) the allocation of spectral resources for the control plane (in- or out-of-band), and ii) the rate selection for the data plane (multiplexing or diversity). While our analysis is necessarily simplified, it reveals the fundamental trade-offs inherent in these design choices, which are crucial for integrating RIS technology into future networks.
Paper Structure (15 sections, 4 figures, 1 table)

This paper contains 15 sections, 4 figures, 1 table.

Table of Contents

  1. Introduction
  2. Data and Control Planes
  3. Communication Paradigms
  4. The RIS Control Challenge
  5. RIS-Compatible Control Taxonomy
  6. Control for
  7. Control for
  8. Evaluating the Impact of RIS Control
  9. Abstract View of a Communication Protocol
  10. The Causality Problem
  11. Control Procedures for RIS-Empowered Systems
  12. Control with Channel Estimation
  13. Control with Beam Sweeping
  14. Performance Evaluation and Comparison
  15. Discussion & Conclusions

Figures (4)

  • Figure 1: Toy example of data and control planes for explicit control, featuring one in a condition and another one in a condition relative to the . "Conf." abbreviates the configuration of the response/reflection.
  • Figure 2: Control information exchange diagram of the and schemes. Monospace font is used to indicate processing operations. "Conf." abbreviates the configuration of the RIS response.
  • Figure 3: Analysis of the goodput performance vs. the frame length.
  • Figure 4: Evaluation of the reliability performance for and . Reliability lower than 99% is not colored.