Abstract

With the development and the characteristics of terminal services of the 5G (5th-Generation network) Internet of Vehicles (IoVs), this paper proposes a distributed splitting strategy for multi-type services of 5G V2X (Vehicle to X) networks. Based on a service-oriented adaptive splitting strategy in heterogeneous networks, combined with various service types such as communications between the networks, terminal, and base stations, and the value-added services of 5G IoVs, the proposed strategy jointly considers delay and cost as optimization goals. By analyzing the characteristics of the different services, the proposed traffic flow splitting strategy is modeled as an optimization problem to efficiently split services in 5G V2X networks. The simulation results show that by setting the traffic distribution policy for each service, the distributed traffic flow splitting strategy can significantly improve network transmission efficiency and reduce the service costs in a vehicle V2X network.

Highlights

  • With the rapid development of wireless communication and network technologies, future wireless communication network systems will be heterogeneous networks that include coexistence, fusion, and complementation of multiple networks, such as cellular networks, WLANs (Wireless Local AreaNetworks), and WPANs (Wireless Personal Area Networks) [1,2]

  • The analytical hierarchy process (AHP)-based traffic flow offloading method needs to clarify the weight of each service, so that each service has a focus on the choice of network access

  • This paper examined the service requirements and communication modes of 5G vehicle networking terminals

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Summary

A Terminal-Oriented Distributed Traffic Flow

Fei Ding 1,2,3, * , Zitong Ma 1 , Zhiliang Li 1 , Ruoyu Su 1 , Dengyin Zhang 1,2,3 and Hongbo Zhu 1,2,3. Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Introduction
Related Works
Analytic Hierarchy Process Based on Service Distribution Weight
Priority-Based Service Offloading
Queue-Based Service Shunting
V2X Networking Architecture
TFSS Algorithm
System
Multi-service
Optimization Problem
Service Shunting Scheme Based on Queuing Theory
Utility
Two-Level Distributed Offloading Scheme
Conclusions
Full Text
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