Optimal Real-time Communication in 6G Ultra-Massive V2X Mobile Networks

2025-10-08

AI Summary

In ultra-massive, high-mobility vehicular-to-everything (V2X) scenarios envisioned for 6G, achieving real-time, reliable communication among dynamically moving vehicles within integrated space-air-ground networks remains challenging. Method: We propose a low-complexity, heuristic cooperative relay selection algorithm grounded in rigorous channel capacity upper-bound analysis, which eliminates fixed relay-count constraints and enables efficient, adaptive resource scheduling. Our approach innovatively unifies cooperative vehicular communications with the integrated space-air-ground architecture. Contribution/Results: Through formal theoretical derivation and system-level simulations, we demonstrate that the proposed scheme significantly improves both achievable channel capacity and link stability over state-of-the-art methods. It robustly supports millisecond-level real-time information exchange under ultra-dense, highly dynamic V2X conditions, thereby providing a scalable, foundational communication enabler for 6G intelligent transportation systems.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Multiagent Systems: Agent Communication
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Novel mobile and WoT systems, and system-of-systems
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphs
• Security and Privacy: Large-scale security measurements

Abstract

This paper introduces a novel cooperative vehicular communication algorithm tailored for future 6G ultra-massive vehicle-to-everything (V2X) networks leveraging integrated space-air-ground communication systems. Specifically, we address the challenge of real-time information exchange among rapidly moving vehicles. We demonstrate the existence of an upper bound on channel capacity given a fixed number of relays, and propose a low-complexity relay selection heuristic algorithm. Simulation results verify that our proposed algorithm achieves superior channel capacities compared to existing cooperative vehicular communication approaches.

Problem

• Optimizing real-time communication in 6G ultra-massive V2X networks
• Addressing channel capacity limits with fixed relay constraints
• Developing efficient relay selection for vehicular information exchange

Innovation

• Cooperative vehicular algorithm for 6G V2X networks
• Low-complexity relay selection heuristic algorithm
• Integrated space-air-ground communication systems