Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

SCROOGE: A Physics-Aware Framework for Efficient Orchestration of RIS-Assisted Networks

Alexandros I. Papadopoulos, Sotiris Kopsinos, Dimitrios Tyrovolas, Antonios Lalas, Konstantinos Votis, George K. Karagiannidis, Christos Liaskos

Abstract

Reconfigurable Intelligent Surfaces (RISs) are emerging as a key enabler of Programmable Wireless Environments for 6G, but their practical integration into operational networks still lacks orchestration mechanisms that can jointly support resource allocation, energy efficiency, and admission control with low online complexity. This paper presents SCROOGE, a physics-aware orchestration framework for multi-user RIS-assisted networks that operates on information generated offline during RIS codebook compilation, namely optimal codebook entries and per-element influence scores. Rather than relying on online optimization or idealized fading-based abstractions, SCROOGE exploits physics-derived descriptors to support low-latency operating-phase decisions that remain compatible with network-level control requirements. Specifically, SCROOGE introduces: i) an influence-aware, tier-consistent resource-allocation mechanism that combines user priority and element importance in the construction of a common RIS configuration; ii) an energy-efficiency mechanism that deactivates globally low-influence elements; and iii) an admission-control mechanism that accepts or rejects candidate users based on tier-aware compatibility with the currently deployed RIS state.

SCROOGE: A Physics-Aware Framework for Efficient Orchestration of RIS-Assisted Networks

Abstract

Reconfigurable Intelligent Surfaces (RISs) are emerging as a key enabler of Programmable Wireless Environments for 6G, but their practical integration into operational networks still lacks orchestration mechanisms that can jointly support resource allocation, energy efficiency, and admission control with low online complexity. This paper presents SCROOGE, a physics-aware orchestration framework for multi-user RIS-assisted networks that operates on information generated offline during RIS codebook compilation, namely optimal codebook entries and per-element influence scores. Rather than relying on online optimization or idealized fading-based abstractions, SCROOGE exploits physics-derived descriptors to support low-latency operating-phase decisions that remain compatible with network-level control requirements. Specifically, SCROOGE introduces: i) an influence-aware, tier-consistent resource-allocation mechanism that combines user priority and element importance in the construction of a common RIS configuration; ii) an energy-efficiency mechanism that deactivates globally low-influence elements; and iii) an admission-control mechanism that accepts or rejects candidate users based on tier-aware compatibility with the currently deployed RIS state.

Paper Structure

This paper contains 11 sections, 8 equations, 8 figures, 1 table, 3 algorithms.

Table of Contents

  1. Introduction
  2. State-of-the-Art
  3. Motivation & Contributions
  4. Structure
  5. System Model
  6. SCROOGE: A Physics-aware Framework for Resource Allocation, Energy Efficiency & Admission Control
  7. Performance Evaluation
  8. Physics-aware Resource Allocation
  9. Physics-aware Energy Efficiency
  10. Physics-aware Admission Control
  11. Conclusion

Figures (8)

  • Figure 1: Physics-aware orchestration of RIS-assisted network via SCROOGE framework. Based on users' codebook entries, influence score and operator tier, resource allocation, energy efficiency and admission control are managed.
  • Figure 2: Illustration of the simulated, physics-based EM setup.
  • Figure 3: Correlation between users' tiers and SNR loss of SCROOGE compared with the non-physics-aware baseline.
  • Figure 4: SNR loss across all the tiers of SCROOGE compared with the non-physics-aware baseline.
  • Figure 5: Fraction of the RIS elements that are deactivated using SCROOGE in different network loads.
  • ...and 3 more figures