5G Software Defined Vehicular Networks
Xiaohu Ge, Zipeng Li, Shikuan Li

TL;DR
This paper proposes a novel 5G software defined vehicular network architecture incorporating fog cells to enhance performance and support future applications like pilotless vehicles, demonstrating improved delay and throughput through analysis and simulation.
Contribution
It introduces a new architecture integrating 5G and SDN with fog cells for vehicular networks, addressing handover issues and performance optimization.
Findings
Minimum transmission delay achieved in various vehicle densities.
Fog cell throughput surpasses traditional systems.
Enhanced network performance for future vehicular applications.
Abstract
With the emerging of the fifth generation (5G) mobile communication systems and software defined networks, not only the performance of vehicular networks could be improved but also new applications of vehicular networks are required by future vehicles, e.g., pilotless vehicles. To meet requirements from intelligent transportation systems, a new vehicular network architecture integrated with 5G mobile communication technologies and software defined network is proposed in this paper. Moreover, fog cells have been proposed to flexibly cover vehicles and avoid frequently handover between vehicles and road side units (RSUs). Based on the proposed 5G software defined vehicular networks, the transmission delay and throughput are analyzed and compared. Simulation results indicate that there exist a minimum transmission delay of 5G software defined vehicular networks considering different…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · IoT and Edge/Fog Computing · Wireless Body Area Networks
