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Mobility-Aware Resource Allocation Based on Matching Theory in MEC

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Simulation Tools and Techniques (SIMUtools 2021)

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Abstract

Mobile Edge Computing (MEC) is a technology that provides communication, computing, and storage resources at the edge of a mobile network to improve the Quality of service (Qos) for mobile users. However, the conflict between the mobility of the user and the limited coverage of the edge server may interrupt the ongoing service and cause a decrease in the quality of the service. In this context, we jointly formulate service migration and resource allocation in MEC by considering user mobility, service migration, communication and computing resources in the edge server to minimize the total service delay. Then we propose a matching algorithm that takes into account the selection preferences of users and Edge servers, and effectively solves the integer nonlinear programming problem we formulated. Finally, the simulation results prove the effectiveness of the proposed algorithm.

The financial support of the National Natural Science Foundation of China (61871452), and the Fundamental Research Funds for the Central Universities under Grant JB210106.

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Authors and Affiliations

  1. State Key Labs of ISN, Xidian University, Xi’an, 710071, China

    Bin Niu, Wei Liu & Yinghong Ma

  2. College of Information and Communication, National University of Defense Technology, Xi’an, 710106, China

    Yue Han

Authors
  1. Bin Niu
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  2. Wei Liu
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  3. Yinghong Ma
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  4. Yue Han
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Corresponding author

Correspondence to Bin Niu .

Editor information

Editors and Affiliations

  1. University of Electronic Science and Technology of China, Chengdu, China

    Dingde Jiang

  2. Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Niu, B., Liu, W., Ma, Y., Han, Y. (2022). Mobility-Aware Resource Allocation Based on Matching Theory in MEC. In: Jiang, D., Song, H. (eds) Simulation Tools and Techniques. SIMUtools 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-030-97124-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-97124-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97123-6

  • Online ISBN: 978-3-030-97124-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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