EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks

IF 13.8 1区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yuxuan Sun, Sheng Zhou, Jie Xu
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引用次数: 307

Abstract

Merging mobile edge computing (MEC) functionality with the dense deployment of base stations (BSs) provides enormous benefits such as a real proximity, low latency access to computing resources. However, the envisioned integration creates many new challenges, among which mobility management (MM) is a critical one. Simply applying existing radio access-oriented MM schemes leads to poor performance mainly due to the co-provisioning of radio access and computing services of the MEC-enabled BSs. In this paper, we develop a novel user-centric energy-aware mobility management (EMM) scheme, in order to optimize the delay due to both radio access and computation, under the long-term energy consumption constraint of the user. Based on Lyapunov optimization and multi-armed bandit theories, EMM works in an online fashion without future system state information, and effectively handles the imperfect system state information. Theoretical analysis explicitly takes radio handover and computation migration cost into consideration and proves a bounded deviation on both the delay performance and energy consumption compared with the oracle solution with exact and complete future system information. The proposed algorithm also effectively handles the scenario in which candidate BSs randomly switch ON/OFF during the offloading process of a task. Simulations show that the proposed algorithms can achieve close-to-optimal delay performance while satisfying the user energy consumption constraint.
EMM:超密集网络中移动边缘计算的能量感知移动管理
将移动边缘计算(MEC)功能与密集部署的基站(BSs)相结合,可以带来巨大的好处,例如对计算资源的真正接近、低延迟访问。然而,设想的集成产生了许多新的挑战,其中移动性管理(MM)是一个关键的挑战。简单地应用现有的面向无线接入的MM方案会导致性能差,这主要是由于支持mec的BSs共同提供无线接入和计算服务。本文提出了一种新的以用户为中心的能量感知移动管理(EMM)方案,在用户长期能量消耗约束下,优化无线接入和计算的延迟。基于Lyapunov优化和多臂强盗理论,EMM在没有未来系统状态信息的情况下以在线方式工作,有效地处理了不完善的系统状态信息。理论分析明确考虑了无线电切换和计算迁移成本,证明了与具有准确完整的未来系统信息的oracle方案相比,该方案在延迟性能和能耗上都有一定的偏差。该算法还有效地处理了任务卸载过程中候选BSs随机开/关的情况。仿真结果表明,该算法在满足用户能量消耗约束的情况下,可以获得接近最优的延迟性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
30.00
自引率
4.30%
发文量
234
审稿时长
6 months
期刊介绍: The IEEE Journal on Selected Areas in Communications (JSAC) is a prestigious journal that covers various topics related to Computer Networks and Communications (Q1) as well as Electrical and Electronic Engineering (Q1). Each issue of JSAC is dedicated to a specific technical topic, providing readers with an up-to-date collection of papers in that area. The journal is highly regarded within the research community and serves as a valuable reference. The topics covered by JSAC issues span the entire field of communications and networking, with recent issue themes including Network Coding for Wireless Communication Networks, Wireless and Pervasive Communications for Healthcare, Network Infrastructure Configuration, Broadband Access Networks: Architectures and Protocols, Body Area Networking: Technology and Applications, Underwater Wireless Communication Networks, Game Theory in Communication Systems, and Exploiting Limited Feedback in Tomorrow’s Communication Networks.
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