Control Plane for Reconfigurable Intelligent Surfaces

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: 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). 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.

Authors

Institutions

Publication Details

Journal
IEEE Communications Standards Magazine
Published
2024-12-01
DOI
https://doi.org/10.1109/mcomstd.0001.2400028
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Control Plane for Reconfigurable Intelligent Surfaces

Kyriakos Stylianopoulos, George C. Alexandropoulos, Petar Popovski, Victor Croisfelt et al.
1 citations
IEEE Communications Standards Magazine
Advanced Wireless Communication Technologies
0.21
article

Control Plane for Reconfigurable Intelligent Surfaces

Kyriakos Stylianopoulos, George C. Alexandropoulos, Petar Popovski, Victor Croisfelt, Fabio Saggese
article en
1 citations

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: 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). 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.

IEEE Communications Standards MagazineVol. 8(4)
National and Kapodistrian University of Athens (GR), Aalborg University (DK)
Villum Fonden, Government of the United Kingdom, UK Research and Innovation, HORIZON EUROPE Framework Programme, Horizon 2020
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced Wireless Communication Technologies
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.