移动边缘计算技术及其本地分流方案  

Mobile edge computing and application in traffic offloading

作　　者：张建敏[1] 谢伟良[1] 杨峰义[1] 武洲云[1] 谢亮[1] 

机构地区：[1]中国电信股份有限公司技术创新中心,北京100031

出　　处：《电信科学》2016年第7期132-139,共8页Telecommunications Science

基　　金：国家高技术研究发展计划("863"计划)基金资助项目(No.2014AA01A707)~~

摘　　要：移动边缘计算(mobile edge computing,MEC)技术通过为无线接入网提供IT和云计算能力,使得业务本地化、近距离部署成为可能,从而促使无线网络具备低时延、高带宽的传输能力,并且回传带宽需求的降低极大程度减少了运营成本。同时,MEC通过感知无线网络上下文信息(位置、网络负荷、无线资源利用率等)并向业务应用开放,可有效提升用户的业务体验,并且为创新型业务的研发部署提供平台。首先介绍MEC技术,细化并给出MEC平台框图。此外,针对基于MEC平台的本地分流功能,给出了详细的技术方案,并与3GPP本地分流方案LIPA/SIPTO进行对比分析。更进一步,针对MEC技术在网络应用中可能存在的问题与挑战进行了讨论,为后续研究发展提供参考。Mobile edge computing （MEC）makes it possible to deploy and provide service locally, which is close to the users, by enabling the IT and cloud computation capacity at the radio access network （RAN）. Thus, MEC can improve the quality of experience （QoE） by reducing the latency, and decrease the network operation cost thruugh reducing backhaul capacity requirement. Meanwhile, based on the network context information （location, network traffic load, radio information, etc） exposm~ to applications and services, MEC can further improve the QoE of user and provide the platform to third-party partners for application and service innovation. Besides the introduction of MEC, the detailed MEC platform was presented. Furthermore, the traffic offloading solution based on MEC was proposed and compared with the solution of local IP access and selected IP traffic offload （UPA/SIPTO） . In addition, the problems and challenges of the MEC were also discussed in detail.

关 键 词：移动边缘计算 MEC平台 本地分流 LIPA/SIPTO 

分 类 号：TN929.5[电子电信—通信与信息系统]