Fluid antenna systems for real-time vehicular edge computing in 6G-enabled autonomous fleets

The convergence of 6G networks with autonomous vehicle platforms is poised to revolutionise real-time decision-making with ultra-low latency and highly reliable communication. Traditional rigid antennas, however, suffer extremely in highly dynamic vehicular settings, leading to low connectivity and higher processing latency. In this paper, we propose a novel architecture that incorporates fluid antenna systems into 6 G-enabled vehicular edge computing environments that provide stable and adaptive connectivity. Fluid antennas can dynamically adapt their radiation patterns to varying network conditions and thus offer improved performance to edge-based task offloading. Theoretical analysis and preliminary simulation models indicate up to 30% improvements in latency reduction and a 20% improvement in handover success rates. This research indicates a promising direction toward resilient and efficient communication in autonomous transportation networks with an innovative microfluidic beam steering capability (±25°), enabling adaptive directionality to roadside infrastructure in dynamic conditions.