MEC Deployment with Distributed Cloud in 4G Network for 5G Success

The purpose of this paper is to understand the deployment model of MEC with distributed cloud in 4G network before rolling out 5G and make the most successful deployment without creating conflict with NFV as part of digital transformation. MEC brings flexibility and agility to meet the application demands of low latency, high reliability with high scalability, bandwidth and battery savings. It explains few reasons why MEC should be adopted before 5G deployment and what would be the benefits for all the actors like operators and public cloud service providers. MEC architecture is designed by ETSI and there are some known challenges with MEC use scenarios like AR/VR, IoT and connected vehicles. MEC offerings few deployment options which available for 4G and take that deployment model as a reference for MEC deployment on 5G include the migration options. This paper provides list of recommendations for key successes deploying MEC in 4G network and 5G and help the stakeholders understand the way to realize the MEC benefits.

[1]  Michael Till Beck,et al.  Mobile Edge Computing: A Taxonomy , 2014 .

[2]  Panagiotis Papadimitratos,et al.  Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation , 2009, IEEE Communications Magazine.

[3]  Khaled Ben Letaief,et al.  Mobile Edge Computing: Survey and Research Outlook , 2017, ArXiv.

[4]  Rajkumar Buyya,et al.  Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges , 2014, IEEE Communications Surveys & Tutorials.

[5]  Qun Li,et al.  Security and Privacy Issues of Fog Computing: A Survey , 2015, WASA.

[6]  Xuemin Shen,et al.  Connected Vehicles: Solutions and Challenges , 2014, IEEE Internet of Things Journal.

[7]  Elisabeth Uhlemann,et al.  Introducing Connected Vehicles [Connected Vehicles] , 2015, IEEE Vehicular Technology Magazine.

[8]  Ejaz Ahmed,et al.  A survey on mobile edge computing , 2016, 2016 10th International Conference on Intelligent Systems and Control (ISCO).