A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

作者: Zhiguo Ding , Won-Joo Hwang , Long Bao Le , Vu Nguyen Ha , Md. Jalil Piran

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摘要: Driven by the emergence of new compute-intensive applications and vision Internet Things (IoT), it is foreseen that emerging 5G network will face an unprecedented increase in traffic volume computation demands. However, end users mostly have limited storage capacities finite processing capabilities, thus how to run on resource-constrained has recently become a natural concern. Mobile edge computing (MEC), key technology fifth generation (5G) network, can optimize mobile resources hosting applications, process large data before sending cloud, provide cloud capabilities within radio access (RAN) close proximity users, offer context-aware services with help RAN information. Therefore, MEC enables wide variety where real-time response strictly required, e.g., driverless vehicles, augmented reality, robotics, immerse media. Indeed, paradigm shift from 4G could reality advent technological concepts. The successful realization still its infancy demands for constant efforts both academic industry communities. In this survey, we first holistic overview potential use cases applications. Then, outline up-to-date researches integration technologies be deployed beyond. We also summarize testbeds experimental evaluations, open source activities, computing. further lessons learned state-of-the-art research works as well discuss challenges future directions research.

参考文章(402)
Gunasekaran Manogaran, R. Varatharajan, Daphne Lopez, Priyan Malarvizhi Kumar, Revathi Sundarasekar, Chandu Thota, A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system Future Generation Computer Systems. ,vol. 82, pp. 375- 387 ,(2017) , 10.1016/J.FUTURE.2017.10.045
Wei Yu, Fan Liang, Xiaofei He, William Grant Hatcher, Chao Lu, Jie Lin, Xinyu Yang, A Survey on the Edge Computing for the Internet of Things IEEE Access. ,vol. 6, pp. 6900- 6919 ,(2018) , 10.1109/ACCESS.2017.2778504
Fang Fang, Haijun Zhang, Julian Cheng, Sebastien Roy, Victor C. M. Leung, Joint User Scheduling and Power Allocation Optimization for Energy-Efficient NOMA Systems With Imperfect CSI IEEE Journal on Selected Areas in Communications. ,vol. 35, pp. 2874- 2885 ,(2017) , 10.1109/JSAC.2017.2777672
Godfrey Anuga Akpakwu, Bruno J. Silva, Gerhard P. Hancke, Adnan M. Abu-Mahfouz, A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges IEEE Access. ,vol. 6, pp. 3619- 3647 ,(2018) , 10.1109/ACCESS.2017.2779844
Ying He, F. Richard Yu, Nan Zhao, Victor C. M. Leung, Hongxi Yin, Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach IEEE Communications Magazine. ,vol. 55, pp. 31- 37 ,(2017) , 10.1109/MCOM.2017.1700246
Niko Makitalo, Aleksandr Ometov, Joona Kannisto, Sergey Andreev, Yevgeni Koucheryavy, Tommi Mikkonen, Safe, Secure Executions at the Network Edge: Coordinating Cloud, Edge, and Fog Computing IEEE Software. ,vol. 35, pp. 30- 37 ,(2017) , 10.1109/MS.2017.4541037
Andri Yoga Nur Pratama, Ahmad Zainudin, Mike Yuliana, Implementation of IoT-based passengers monitoring for smart school application international electronics symposium. pp. 33- 38 ,(2017) , 10.1109/ELECSYM.2017.8240371
Tingting Hou, Gang Feng, Shuang Qin, Wei Jiang, Proactive Content Caching by Exploiting Transfer Learning for Mobile Edge Computing GLOBECOM 2017 - 2017 IEEE Global Communications Conference. pp. 1- 6 ,(2017) , 10.1109/GLOCOM.2017.8254636