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

TL;DR

This work addresses real-time cooperative V2X communication in 6G ultra-massive networks with space-air-ground integration. It develops an upper-bound analysis for channel capacity with a fixed number of relays and introduces a low-complexity, multi-relay selection algorithm accompanied by optimized power allocation. The simulations show notable capacity gains (approximately 0.8–2.5 kbps) over existing V2X schemes and reveal that relay diversity has diminishing returns beyond a point, while source power strongly influences performance. Together, these results support ultra-fast, reliable D2D communications across heterogeneous relay assets (vehicles, UAVs, satellites, and MECs) for real-time sensing and mapping in CIoV scenarios.

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.

Figures (5)

• Figure 1: 6G ultra massive V2X ubiquitous networks
• Figure 2: Communications of multiple ultra large scale subsets
• Figure 3: Channel capacity versus number of relays where ${Q_{{\rm{sou}}}} = 18W$
• Figure 4: Channel capacity versus number of relays
• Figure 5: Channel capacity versus number of relays where $Q_{R_g}$ is constant