E2M2

Energy efficient mobility management in dense small cells with mobile edge computing

Jie Xu, Yuxuan Sun, Lixing Chen, Sheng Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Merging mobile edge computing with the dense deployment of small cell base stations promises enormous benefits such as a real proximity, ultra-low latency access to cloud functionalities. However, the envisioned integration creates many new challenges and one of the most significant is mobility management, which is becoming a key bottleneck to the overall system performance. Simply applying existing solutions leads to poor performance due to the highly overlapped coverage areas of multiple base stations in the proximity of the user and the co-provisioning of radio access and computing services. In this paper, we develop a novel user-centric mobility management scheme, leveraging Lyapunov optimization and multi-armed bandits theories, in order to maximize the edge computation performance for the user while keeping the user's communication energy consumption below a constraint. The proposed scheme effectively handles the uncertainties present at multiple levels in the system and provides both short-term and long-term performance guarantee. Simulation results show that our proposed scheme can significantly improve the computation performance (compared to state of the art) while satisfying the communication energy constraint.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
StatePublished - Jul 28 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: May 21 2017May 25 2017

Other

Other2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period5/21/175/25/17

Fingerprint

Base stations
Communication
Merging
Energy utilization
Uncertainty

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Xu, J., Sun, Y., Chen, L., & Zhou, S. (2017). E2M2: Energy efficient mobility management in dense small cells with mobile edge computing. In 2017 IEEE International Conference on Communications, ICC 2017 [7996855] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996855

E2M2 : Energy efficient mobility management in dense small cells with mobile edge computing. / Xu, Jie; Sun, Yuxuan; Chen, Lixing; Zhou, Sheng.

2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7996855.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xu, J, Sun, Y, Chen, L & Zhou, S 2017, E2M2: Energy efficient mobility management in dense small cells with mobile edge computing. in 2017 IEEE International Conference on Communications, ICC 2017., 7996855, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 5/21/17. https://doi.org/10.1109/ICC.2017.7996855
Xu J, Sun Y, Chen L, Zhou S. E2M2: Energy efficient mobility management in dense small cells with mobile edge computing. In 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996855 https://doi.org/10.1109/ICC.2017.7996855
Xu, Jie ; Sun, Yuxuan ; Chen, Lixing ; Zhou, Sheng. / E2M2 : Energy efficient mobility management in dense small cells with mobile edge computing. 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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