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A Commercial Video-Caching System for Small-Cell Cellular Networks Using Game Theory
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2016 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 4, 7519-7531 p., 7496825Article in journal (Refereed) Published
Abstract [en]

Evidence indicates that requesting video clips on demand accounts for a dramatic increase in data traffic over cellular networks. Caching part of popular videos in the storage of small-cell base stations (SBS) in cellular networks is an efficient method to reduce transmission latency and mitigate redundant transmissions. In this paper, we propose a commercial caching system consisting of a video retailer (VR) and multiple network service providers (NSPs). Each NSP leases its SBSs, with some price, to the VR for the purpose of making profits, and the VR, after storing popular videos in the rented SBSs, can provide better local video services to the mobile users, thereby gaining more profits. We conceive this system within the framework of a Stackelberg game by treating the SBSs as a specific type of resources. Then, we establish the profit models for both the NSPs and the VR based on stochastic geometry. We further investigate the Stackelberg equilibrium by solving the optimization problems in two cases, i.e., whether or not the VR has a budget plan on renting the SBSs. Numerical results are provided for quantifying the proposed framework by showing its efficiency on pricing and resource allocation.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 4, 7519-7531 p., 7496825
Keyword [en]
content-centric communications, small-cell networks, Stackelberg game, stochastic geometry, Wireless caching, Budget control, Digital storage, Economics, Game theory, Geometry, Optimization, Profitability, Stochastic models, Stochastic systems, Wireless networks, Content centric, Multiple networks, Optimization problems, Pricing and resource allocation, Small cell Networks, Stackelberg equilibrium, Stackelberg Games, Mobile telecommunication systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-207557DOI: 10.1109/ACCESS.2016.2582836ISI: 000401313400001Scopus ID: 2-s2.0-85013343449OAI: oai:DiVA.org:kth-207557DiVA: diva2:1103761
Note

QC 20170609

Available from: 2017-05-31 Created: 2017-05-31 Last updated: 2017-06-09Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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Output format
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