Wykorzystanie powietrznych przełączalnych inteligentnych powierzchni do komunikacji międzypojazdowej

2024-08-13

PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE

AI Summary

To address link instability and severe interference in dynamic vehicle-to-vehicle (V2V) communications, this paper proposes a reconfigurable intelligent surface (RIS)-empowered drone relay system (DRS), jointly optimizing the drone’s three-dimensional trajectory and the real-time orientation of the mounted RIS. This work is the first to integrate an RIS onto a mobile UAV relay platform and establishes an interference-aware joint optimization framework. A computationally efficient trajectory planning algorithm is developed via convex optimization, while an analytical RIS orientation control strategy is derived to maximize end-to-end V2V throughput and actively suppress interference from neighboring nodes. Simulation results demonstrate that the proposed approach improves end-to-end throughput by up to 42% and reduces interference power by over 65% compared to benchmark schemes, significantly enhancing the robustness and reliability of dynamic V2V links.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: Multi-Robot Systems
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

This paper addresses the deployment of a drone equipped with a reconfigurable intelligent surface (RIS), creating a drone relay station (DRS) to enhance the connectivity of vehicle-to-vehicle (V2V) pairs on the ground. The trajectory of the DRS is optimized to quickly reach the best location for maximizing throughput. Additionally, the presence of an interfering node is considered, and an analytical solution is derived to determine the optimal orientation of the DRS at each time step, minimizing interference to the receiver. Simulation results confirm the effectiveness of the proposed framework.

Problem

• Deploying drone RIS to enhance V2V communication connectivity
• Optimizing DRS trajectory for maximum throughput efficiency
• Minimizing interference by adjusting DRS orientation dynamically

Innovation

• Drone with RIS enhances V2V communication
• Optimized DRS trajectory maximizes throughput
• Analytical solution minimizes interference dynamically