Approximation Algorithms for Mobile Data Caching in Small Cell Networks

Small cells constitute a promising solution for managing the mobile data growth that has overwhelmed network operators. Local caching of popular content items at the small cell base stations (SBSs) has been proposed to decrease the costly transmissions from the macrocell base stations without requir...

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Published in:	IEEE transactions on communications Vol. 62; no. 10; pp. 3665 - 3677
Main Authors:	Poularakis, Konstantinos, Iosifidis, George, Tassiulas, Leandros
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation algorithms Approximation methods Bandwidth Base stations Caching Computer architecture Heuristic Mathematical analysis Mathematical models Networks Product introduction Radio equipment Reduction Routing Scattering Stations Telecommunications industry Caching and routing algorithms small cell networks facility location problems network optimization
ISSN:	0090-6778, 1558-0857
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Abstract	Small cells constitute a promising solution for managing the mobile data growth that has overwhelmed network operators. Local caching of popular content items at the small cell base stations (SBSs) has been proposed to decrease the costly transmissions from the macrocell base stations without requiring high capacity backhaul links for connecting the SBSs with the core network. However, the caching policy design is a challenging problem especially if one considers realistic parameters such as the bandwidth capacity constraints of the SBSs that can be reached in congested urban areas. We consider such a scenario and formulate the joint routing and caching problem aiming to maximize the fraction of content requests served locally by the deployed SBSs. This is an NP-hard problem and, hence, we cannot obtain an optimal solution. Thus, we present a novel reduction to a variant of the facility location problem, which allows us to exploit the rich literature of it, to establish algorithms with approximation guarantees for our problem. Although the reduction does not ensure tight enough bounds in general, extensive numerical results reveal a near-optimal performance that is even up to 38% better compared to conventional caching schemes using realistic system settings.
AbstractList	Small cells constitute a promising solution for managing the mobile data growth that has overwhelmed network operators. Local caching of popular content items at the small cell base stations (SBSs) has been proposed to decrease the costly transmissions from the macrocell base stations without requiring high capacity backhaul links for connecting the SBSs with the core network. However, the caching policy design is a challenging problem especially if one considers realistic parameters such as the bandwidth capacity constraints of the SBSs that can be reached in congested urban areas. We consider such a scenario and formulate the joint routing and caching problem aiming to maximize the fraction of content requests served locally by the deployed SBSs. This is an NP-hard problem and, hence, we cannot obtain an optimal solution. Thus, we present a novel reduction to a variant of the facility location problem, which allows us to exploit the rich literature of it, to establish algorithms with approximation guarantees for our problem. Although the reduction does not ensure tight enough bounds in general, extensive numerical results reveal a near-optimal performance that is even up to 38% better compared to conventional caching schemes using realistic system settings.
Author	Tassiulas, Leandros Iosifidis, George Poularakis, Konstantinos
Author_xml	– sequence: 1 givenname: Konstantinos surname: Poularakis fullname: Poularakis, Konstantinos email: kopoular@inf.uth.gr organization: Dept. of Electr. & Comput. Eng., Univ. of Thessaly, Volos, Greece – sequence: 2 givenname: George surname: Iosifidis fullname: Iosifidis, George email: giosifid@inf.uth.gr organization: Dept. of Electr. & Comput. Eng., Univ. of Thessaly, Volos, Greece – sequence: 3 givenname: Leandros surname: Tassiulas fullname: Tassiulas, Leandros email: leandros@inf.uth.gr organization: Dept. of Electr. & Comput. Eng., Univ. of Thessaly, Volos, Greece
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SubjectTerms	Algorithms Approximation algorithms Approximation methods Bandwidth Base stations Caching Computer architecture Heuristic Mathematical analysis Mathematical models Networks Product introduction Radio equipment Reduction Routing Scattering Stations Telecommunications industry
Title	Approximation Algorithms for Mobile Data Caching in Small Cell Networks
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