English

A Survey on Mobile Edge Computing: The Communication Perspective

Information Theory 2017-06-14 v4 math.IT

Abstract

Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized Mobile Cloud Computing towards Mobile Edge Computing (MEC). The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical applications at the resource-limited mobile devices. MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. The promised gains of MEC have motivated extensive efforts in both academia and industry on developing the technology. A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation offloading to network architectures. This paper provides a comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management. We also present a research outlook consisting of a set of promising directions for MEC research, including MEC system deployment, cache-enabled MEC, mobility management for MEC, green MEC, as well as privacy-aware MEC. Advancements in these directions will facilitate the transformation of MEC from theory to practice. Finally, we introduce recent standardization efforts on MEC as well as some typical MEC application scenarios.

Keywords

Cite

@article{arxiv.1701.01090,
  title  = {A Survey on Mobile Edge Computing: The Communication Perspective},
  author = {Yuyi Mao and Changsheng You and Jun Zhang and Kaibin Huang and Khaled B. Letaief},
  journal= {arXiv preprint arXiv:1701.01090},
  year   = {2017}
}

Comments

Updated version with a new title of the paper "Mobile Edge Computing: Survey and Research Outlook", submitted to IEEE Commun. Surveys Tuts

R2 v1 2026-06-22T17:41:13.646Z