Reconfigurable Intelligent Surface (RIS) System Level Simulations for Industry Standards

2024-09-20

arXiv.org

AI Summary

The absence of a standardized system-level simulation framework hinders rigorous performance evaluation of Reconfigurable Intelligent Surfaces (RIS) in 6G multi-RIS, multi-base-station networks. Method: This work establishes the first 3GPP-compliant system-level simulator for RIS-aided networks. It integrates geometrically random RIS deployment, configurable panel density and size, and—novelly within a standardized framework—jointly models key non-ideal hardware effects: near-field propagation, inter-panel interference, phase quantization error, and unit failure. These factors are rigorously incorporated into path loss and large-scale fading modeling for both RIS-reflected and direct links. Results: Simulation results demonstrate that strategic RIS deployment significantly enhances Reference Signal Received Power (RSRP), Signal-to-Interference-plus-Noise Ratio (SINR), spectral efficiency, and cell coverage. The platform provides a reproducible, quantitative performance benchmark and design guidelines to support standardization of RIS technology in 6G systems.

Technology Category

• Intelligent Robots: Multi-Robot Systems
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterization
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems

Abstract

Reconfigurable intelligent surface (RIS) is an emerging technology for wireless communications. In this paper, extensive system level simulations are conducted for analyzing the performance of multi-RIS and multi-base-station (BS) scenarios, by considering typical settings for industry standards. Pathloss and large-scale fading are taken into account when modeling the RIS cascaded and direct links. The performance metrics considered are the downlink reference signal received power (RSRP) and the signal to interference noise ratio (SINR). The evaluation methodology is compatible with that utilized for technology studies in industry standards development organizations, by considering the uniqueness of RIS. The simulations are comprehensive, and they take into account different layouts of RIS panels and mobiles in a cell, and different densities and sizes of RIS panels. Several practical aspects are considered, including the interference between RIS panels, the phase quantization of RIS elements, and the failure of RIS elements. The impact of near field effects for the RIS-mobile links is analyzed as well. Simulation results demonstrate the potential of RIS-aided deployments in improving the system capacity and cell coverage in 6G mobile systems.

Problem

• Analyzes RIS performance in multi-BS scenarios
• Evaluates RIS impact on RSRP and SINR
• Studies RIS deployment in 6G system capacity

Innovation

• Reconfigurable Intelligent Surface simulations
• Multi-RIS and multi-BS scenarios
• Downlink RSRP and SINR metrics