NDLI: Collaborative caching for multicell-coordinated systems

Content Provider	IEEE Xplore Digital Library
Author	Khreishah, A. Chakareski, J.
Copyright Year	2015
Description	Author affiliation: Electr. & Comput. Eng. Dept., New Jersey Inst. of Technol., Newark, NJ, USA (Khreishah, A.) \|\| Electr. & Comput. Eng. Dept., Univ. of Alabama, Tuscaloosa, AL, USA (Chakareski, J.)
Abstract	Cellular networks have become a major Internet gateway over which online video is increasingly accessed. Data caching in cellular networks brings the accessed content closer to the requesting clients, thus enhancing simultaneously the performance of the video application and the operational efficiency of the cellular network. State-of-the-art caching schemes for cellular networks either employ traditional approaches such as Least Recently Used (LRU) caching or optimize the cache placement at each base station independently. We study the problem of collaborative content caching among base stations such that their aggregate operational cost is minimized or the profit earned by the service provider is maximized, given their caching capacity constraints. We distinguish between two cases: (i) non-coded data in which a content item is either stored at a base station or not, and (ii) coded data, where segments of the fountain or network coded content item are stored at multiple base stations. For the non-coded case, we derive an integer programming formulation and prove its NP-completeness. We also design a fully polynomial-time approximation algorithm for solving the problem of interest. For the coded case, we derive a linear program formulation that can be solved in polynomial time. Our simulation results show that the proposed collaborative caching schemes provide considerable advances over non-collaborative competitors.
Starting Page	257
Ending Page	262
File Size	425253
Page Count	6
File Format	PDF
ISBN	9781467371315
DOI	10.1109/INFCOMW.2015.7179394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Energy consumption heterogeneous networks Collaboration Approximation algorithms Encoding collaborative caching Internet Multicell-coordinated systems Approximation methods caching cellular networks
Content Type	Text
Resource Type	Article

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