NDLI: Jointly caching and computation resource allocation for mobile edge networks

Content Provider	IET Digital Library
Author	Tang, Qinqin Xie, Renchao Huang, Tao Liu, Yunjie
Abstract	To cope with the explosion of video traffic, mobile edge computing (MEC) has been introduced as a promising technology in fifth generation networks to enable caching and computing resources to transcode video contents and cache them within the edge of mobile networks. In this study, a joint caching and computing resource allocation mechanism is proposed to effectively schedule the resources of the mobile edge networks. The authors formulate a Stackelberg game to analyse the allocation problem between the MEC server and multiple base stations (BSs). The MEC server aims to impose the prices to the BSs to maximise its revenue, while the BSs compete to determine the caching/computing space that they can occupy at the MEC server to improve the quality of experience of their service users. The competition between the BSs is formulated as a non-cooperative subgame where each BS is designed to maximise the request rate that can be served by the MEC server. Then, the proposed games are proved to converge to a unique Stackelberg equilibria. Numerical simulations are presented to verify the proposed scheme. It is shown that the proposed schemes are effective in resource allocation for both storage and computational capacities in mobile edge networks.
Starting Page	329
Ending Page	338
Page Count	10
ISSN	20474954
Volume Number	8
e-ISSN	20474962
Issue Number	Issue 5, Sep (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-net/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-net.2018.5111
Journal	IET Networks
Publisher Date	2019-07-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	BSs Cache Storage Caching/computing Space Cellular Radio Computation Resource Allocation Computational Capacities Computer Communication Computing Resource Allocation Mechanism Computing Resources Fifth Generation Network Game Theory Joint Caching MEC Server Mobile Edge Computing Mobile Edge Network Mobile Network Mobile Radio System Optimisation Technique Pricing Resource Allocation Scheduling Storage Transcoding
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Management Science and Operations Research Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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