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M. Trigka, E. Dritsas, Ph. Mylonas
Edge-Controlled Intelligent Reflecting Surfaces for Internet of Things: Architecture and Practical Deployments
6th International Conference on Novel & Intelligent Digital Systems (NIDS 2026), September 23-25, 2026, Athens, Greece
ABSTRACT
Intelligent Reflecting Surface (IRS) offers a powerful means to transform the wireless propagation environment into a programmable resource, creating new opportunities for Internet of Things (IoT) networks to operate under strict energy, scalability, and coverage constraints. However, the practical adoption of IRS in large-scale IoT deployments remains limited, primarily because most common control models rely on centralized or cloud-centric assumptions that are fundamentally misaligned with IoT operational realities. This paper argues that IRS-assisted IoT networks become practically viable only when IRS control is natively embedded at the network edge, where decisions can be aligned with local propagation conditions and traffic dynamics without incurring excessive signaling or coordination overhead. Adopting a system-level tutorial perspective, this work focuses on the architectural positioning of IRS within IoT systems and on edge-native control abstraction, reframing IRS as an edge-controlled capability and introducing a reference edge–IRS–IoT framework, along with the role of edge intelligence in governing IRS configuration across different decision timescales. Representative IoT scenarios ground the proposed edge-controlled IRS architecture in realistic operating conditions, highlighting its relevance for real-world deployment. Overall, this study provides system-level design guidance to support the practical integration of IRS-assisted IoT systems.
23 September, 2026
M. Trigka, E. Dritsas, Ph. Mylonas, "Edge-Controlled Intelligent Reflecting Surfaces for Internet of Things: Architecture and Practical Deployments", 6th International Conference on Novel & Intelligent Digital Systems (NIDS 2026), September 23-25, 2026, Athens, Greece
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