Reconfigurable intelligent surface optimized over-the-air control of networked dynamic systems
File(s)
Accepted version
Author(s)
Type
Conference Paper
Abstract
Recently proposed over-the-air (OTA) controllers enable spectrum-efficient data fusion and control of networked dynamical systems such as swarm of drones and smart-grids. By properly tuning wireless channels, control signals can be formed via electromagnetic superposition of nodes’ states transmitted on the same frequency, and received at the controller. However, the challenge of current OTA controllers lies in the insufficient optimization variables to compensate wireless channels for OTA control objectives. In this work, we leverage the massive channel tuning elements of a reconfigurable intelligent surface (RIS) to design a RIS optimized OTA controller for networked dynamical systems. We first formulate the RIS-assisted OTA control objective function and a non-convex minimax eigenvalue optimization problem. Then, an quadratic upper-bound of the maximum eigenvalue is found to approximate the original optimization problem into a convex form. A smart-grid case-study is explored to validate our proposed RIS-OTA controller. Simulation results illustrate better control performance of our proposed RIS-OTA controller than existing transmitter power allocation based OTA controller, showing the promising potentials of RIS-optimized OTA controller in practical networked dynamical systems.
Date Issued
2025-09-12
Date Acceptance
2025-05-01
Citation
IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2025
ISBN
979-8-3315-4371-6
ISSN
2159-4228
Publisher
IEEE
Journal / Book Title
IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Copyright Statement
© 2025, IEEE. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Source
2025 Conference on Computer Communications-INFOCOM-Annual
Subjects
Computer Science
Computer Science, Theory & Methods
control theory
networked dynamical system
Over-the-air
reconfigurable intelligent surface
Science & Technology
Technology
Telecommunications
WIRELESS
Publication Status
Published
Start Date
2025-05-19
Finish Date
2025-05-22
Coverage Spatial
London, UK