电信科学 ›› 2022, Vol. 38 ›› Issue (Z1): 250-258.doi: 10.11959/j.issn.1000-0801.2022128

• ICT • 上一篇    

基于MEC的定位技术在车联网中的应用

顾博, 敖婷   

  1. 中移（上海）信息通信科技有限公司，北京 100032
  • 修回日期:2022-04-10 出版日期:2022-05-31 发布日期:2022-05-01
  • 作者简介:顾博（1993- ），男，博士，中移（上海）信息通信科技有限公司工程师，主要研究方向为高精度定位、车联网和强化学习等
    敖婷（1978- ），女，中移（上海）信息通信科技有限公司工程师，主要研究方向为网络通信、交通等垂直行业的 5G 网络应用和关键技术研究

Application of MEC-based positioning technology in the Internet of vehicles

Bo GU, Ting AO   

  1. China Mobile (Shanghai) ICT Co., Ltd., Shanghai 201206,China
  • Revised:2022-04-10 Online:2022-05-31 Published:2022-05-01

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摘要：

定位不仅是保障车辆安全行驶的基石，也是众多位置相关服务的基础，定位技术的发展和应用极大地影响车联网的发展前景。边缘计算可以将密集型计算任务迁移到邻近车侧或者路侧的网络边缘，可以在算力下沉到网络边缘的同时，卸载网络传输的负载，节省传输的带宽，对车联网应用形成强有力的支持。研究MEC与车联网定位技术的融合，通过分析MEC融合定位技术在车联网中的应用场景、融合的需求，形成基于MEC的定位技术总体架构。同时，对该架构的机遇与挑战进行进一步分析，为后续基于MEC的定位技术的标准化以及车联网中的应用提供重要参考。

关键词: 高精度定位, 边缘计算, 车联网

Abstract:

Positioning is not only the cornerstone of ensuring the safe driving of vehicles, but also the foundation of many location-related services.The development and application of the positioning technology have greatly affected the development prospects of the Internet of vehicles.Mobile edge computing can migrate intensive computing tasks to the edge of the network adjacent to the car or roadside.By sinking the computing power to the edge of the network, mobile edge computing can offload the load of network transmission, save the transmission bandwidth, and support Internet of vehicles applications powerfully.It was aimed to study the integration of MEC and IoV positioning technology, and form the overall architecture of MEC-based positioning technology by analyzing the application scenarios and integration requirements of MEC integrated positioning technology in IoV.At the same time, the opportunities and challenges of the architecture were further analyzed to provide an important reference for the subsequent standardization of MEC-based positioning technology and the application in the Internet of vehicles.

Key words: high-precision positioning, mobile edge computing, Internet of vehicles

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