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Latency reduction in vehicular sensing applications by dynamic 5G user plane function allocation with session continuity

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Latency reduction in vehicular sensing applications by dynamic 5G user plane function allocation with session continuity

Fondo Ferreiro, Pablo; Candal Ventureira, David; Gonzalez Castaño, Francisco Javier; Gil Castiñeira, Felipe Jose
 
DATE : 2021-11-21
UNIVERSAL IDENTIFIER : http://hdl.handle.net/11093/2733
UNESCO SUBJECT : 1203.04 Inteligencia Artificial ; 3325 Tecnología de las Telecomunicaciones ; 3317.02 Automóviles
DOCUMENT TYPE : article

ABSTRACT :

Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sensor data need to be sent to edge computing resources with stringent latency constraints. To ensure low latency with the resources available, we propose an optimization framework that deploys User Plane Functions (UPFs) dynamically at the edge to minimize the number of network hops between the vehicles and them. The proposed framework relies on a practical Software-Defined-Networking (SDN)-based mechanism that allows seamless re-assignment of vehicles to UPFs while maintaining session and service continuity. We propose and evaluate different UPF allocation algorithms that reduce communications latency compared to static, random, and centralized deployment baselines. Our results demonstrated that the dynamic allocation of UPFs can support latency-critical applications that would be ... [+]
Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sensor data need to be sent to edge computing resources with stringent latency constraints. To ensure low latency with the resources available, we propose an optimization framework that deploys User Plane Functions (UPFs) dynamically at the edge to minimize the number of network hops between the vehicles and them. The proposed framework relies on a practical Software-Defined-Networking (SDN)-based mechanism that allows seamless re-assignment of vehicles to UPFs while maintaining session and service continuity. We propose and evaluate different UPF allocation algorithms that reduce communications latency compared to static, random, and centralized deployment baselines. Our results demonstrated that the dynamic allocation of UPFs can support latency-critical applications that would be unfeasible otherwise. [-]

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