Network-Coded Content Delivery in Femtocaching-Assisted Cellular Networks

Handle URI:
http://hdl.handle.net/10754/605654
Title:
Network-Coded Content Delivery in Femtocaching-Assisted Cellular Networks
Authors:
Shnaiwer, Yousef N.; Sorour, Sameh; Aboutorab, Neda; Sadeghi, Parastoo; Al-Naffouri, Tareq Y.
Abstract:
Next-generation cellular networks are expected to be assisted by femtocaches (FCs), which collectively store the most popular files for the clients. Given any arbitrary non-fragmented placement of such files, a strict no-latency constraint, and clients' prior knowledge, new file download requests could be efficiently handled by both the FCs and the macrocell base station (MBS) using opportunistic network coding (ONC). In this paper, we aim to find the best allocation of coded file downloads to the FCs so as to minimize the MBS involvement in this download process. We first formulate this optimization problem over an ONC graph, and show that it is NP-hard. We then propose a greedy approach that maximizes the number of files downloaded by the FCs, with the goal to reduce the download share of the MBS. This allocation is performed using a dual conflict ONC graph to avoid conflicts among the FC downloads. Simulations show that our proposed scheme almost achieves the optimal performance and significantly saves on the MBS bandwidth.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Journal:
2015 IEEE Global Communications Conference (GLOBECOM)
Conference/Event name:
2015 IEEE Global Communications Conference (GLOBECOM)
Issue Date:
6-Dec-2015
DOI:
10.1109/GLOCOM.2015.7417276; 10.1109/GLOCOM.2014.7417276
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7417276
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorShnaiwer, Yousef N.en
dc.contributor.authorSorour, Samehen
dc.contributor.authorAboutorab, Nedaen
dc.contributor.authorSadeghi, Parastooen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2016-04-17T09:15:17Zen
dc.date.available2016-04-17T09:15:17Zen
dc.date.issued2015-12-06en
dc.identifier.doi10.1109/GLOCOM.2015.7417276en
dc.identifier.doi10.1109/GLOCOM.2014.7417276en
dc.identifier.urihttp://hdl.handle.net/10754/605654en
dc.description.abstractNext-generation cellular networks are expected to be assisted by femtocaches (FCs), which collectively store the most popular files for the clients. Given any arbitrary non-fragmented placement of such files, a strict no-latency constraint, and clients' prior knowledge, new file download requests could be efficiently handled by both the FCs and the macrocell base station (MBS) using opportunistic network coding (ONC). In this paper, we aim to find the best allocation of coded file downloads to the FCs so as to minimize the MBS involvement in this download process. We first formulate this optimization problem over an ONC graph, and show that it is NP-hard. We then propose a greedy approach that maximizes the number of files downloaded by the FCs, with the goal to reduce the download share of the MBS. This allocation is performed using a dual conflict ONC graph to avoid conflicts among the FC downloads. Simulations show that our proposed scheme almost achieves the optimal performance and significantly saves on the MBS bandwidth.en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7417276en
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleNetwork-Coded Content Delivery in Femtocaching-Assisted Cellular Networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 IEEE Global Communications Conference (GLOBECOM)en
dc.conference.date6-10 Dec. 2015en
dc.conference.name2015 IEEE Global Communications Conference (GLOBECOM)en
dc.conference.locationSan Diego, CAen
dc.eprint.versionPost-printen
dc.contributor.institutionElectrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabiaen
dc.contributor.institutionResearch School of Engineering, The Australian National University, Canberra, Australiaen
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