融合5G增强车联网QoS的高效VHO算法

Pramod Kumar P, A. R, S. K
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引用次数: 1

摘要

在印度这样的发展中国家,智能城市的智能和各种车辆的繁荣,车联网(IoV)通过提供许多好处,包括交通拥堵控制,智能停车,车辆应急和污染监测水平,获得了很多考虑。此外,IoV通过互联网援助通信为车辆提供支持。为了更好地实现车联网(V2X)之间的通信,需要先进的网络基础设施。目前可用的网络,如第三代(3G),第四代(4G)或长期演进(LTE)不足以满足这些类型的通信;第五代(5G)蜂窝网络进入了人们的视野。5G提供实时人群外包、更高的数据速率、低传输延迟和传感,作为信息的补充基础。除了领先的网络基础设施外,车辆的移动性要求异构网络之间有完善的切换机制。本文利用人工智能算法讨论了车联网与5G的集成以及垂直切换(VHO)机制的重要性,并基于数据传输速率、传输延迟、平均吞吐量、分组传送比(PDR)和服务质量(QoS)等几个参数分析了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient VHO Algorithm to Enhance QoS in Internet of Vehicles with the Integration of 5G
In a de veloping country such as India, the intellection of smart city and the boom for a wide range of vehicles, Internet of Vehicles (IoV) has gained a lot of consideration by furnishing numerous benefits, including traffic congestion control, smart parking, vehicle emergency and monitoring levels of pollution. Furthermore, IoV provides support for vehicles over internet aid communication. In order to have a better communication between Vehicle-to-Everything (V2X), an advanced network infrastructure is required. The currently available networks like 3rd generation (3G), 4th generation (4G) or long term evolution (LTE) are not adequate for these kinds of communications; There comes the 5th Generation (5G) cellular network into the picture. The 5G offers real-time crowd sourcing, higher data rates, low latency for transmission and sensing as a complementary base for information. In addition to the leading edge network infrastructure, the mobility of vehicles urges to have a perfect handover (HO) mechanism among heterogeneous networks. This paper discuss about the integration IoV with 5G and the importance of vertical handover (VHO) mechanism using an Artificial Intelligence algorithm and analyze its performance based on few of the parameters such as data transfer rate, transmission delay, mean throughput, packet delivery ratio (PDR) and Quality of Service (QoS).
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