Optimal Caching in Multicast 5G Networks with Opportunistic Spectrum Access

Handle URI:
http://hdl.handle.net/10754/627292
Title:
Optimal Caching in Multicast 5G Networks with Opportunistic Spectrum Access
Authors:
Emara, Mostafa; Elsawy, Hesham ( 0000-0003-4201-6126 ) ; Sorour, Sameh; Al-Ghadhban, Samir; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 )
Abstract:
Cache-enabled small base station (SBS) densification is foreseen as a key component of 5G cellular networks. This architecture enables storing popular files at the network edge (i.e., SBS caches), which empowers local communication and alleviates traffic congestions at the core/backhaul network. This paper develops a mathematical framework, based on stochastic geometry, to characterize the hit probability of a cache-enabled multicast 5G network with SBS multi-channel capabilities and opportunistic spectrum access. To this end, we first derive the hit probability by characterizing opportunistic spectrum access success probabilities, service distance distributions, and coverage probabilities. The optimal caching distribution to maximize the hit probability is then computed. The performance and trade-offs of the derived optimal caching distributions are then assessed and compared with two widely employed caching distribution schemes, namely uniform and Zipf caching, through numerical results and extensive simulations. It is shown that the Zipf caching almost optimal only in scenarios with large number of available channels and large cache sizes.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Emara M, ElSawy H, Sorour S, Al-Ghadhban S, Alouini M-S, et al. (2017) Optimal Caching in Multicast 5G Networks with Opportunistic Spectrum Access. GLOBECOM 2017 - 2017 IEEE Global Communications Conference. Available: http://dx.doi.org/10.1109/glocom.2017.8254682.
Publisher:
IEEE
Journal:
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
KAUST Grant Number:
KAUST-002
Issue Date:
15-Jan-2018
DOI:
10.1109/glocom.2017.8254682
Type:
Conference Paper
Sponsors:
This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST). The work was also supported by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, through project number KAUST-002.
Additional Links:
http://ieeexplore.ieee.org/document/8254682/
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorEmara, Mostafaen
dc.contributor.authorElsawy, Heshamen
dc.contributor.authorSorour, Samehen
dc.contributor.authorAl-Ghadhban, Samiren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2018-03-11T12:35:46Z-
dc.date.available2018-03-11T12:35:46Z-
dc.date.issued2018-01-15en
dc.identifier.citationEmara M, ElSawy H, Sorour S, Al-Ghadhban S, Alouini M-S, et al. (2017) Optimal Caching in Multicast 5G Networks with Opportunistic Spectrum Access. GLOBECOM 2017 - 2017 IEEE Global Communications Conference. Available: http://dx.doi.org/10.1109/glocom.2017.8254682.en
dc.identifier.doi10.1109/glocom.2017.8254682en
dc.identifier.urihttp://hdl.handle.net/10754/627292-
dc.description.abstractCache-enabled small base station (SBS) densification is foreseen as a key component of 5G cellular networks. This architecture enables storing popular files at the network edge (i.e., SBS caches), which empowers local communication and alleviates traffic congestions at the core/backhaul network. This paper develops a mathematical framework, based on stochastic geometry, to characterize the hit probability of a cache-enabled multicast 5G network with SBS multi-channel capabilities and opportunistic spectrum access. To this end, we first derive the hit probability by characterizing opportunistic spectrum access success probabilities, service distance distributions, and coverage probabilities. The optimal caching distribution to maximize the hit probability is then computed. The performance and trade-offs of the derived optimal caching distributions are then assessed and compared with two widely employed caching distribution schemes, namely uniform and Zipf caching, through numerical results and extensive simulations. It is shown that the Zipf caching almost optimal only in scenarios with large number of available channels and large cache sizes.en
dc.description.sponsorshipThis research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST). The work was also supported by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, through project number KAUST-002.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8254682/en
dc.rights(c) 2017 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.titleOptimal Caching in Multicast 5G Networks with Opportunistic Spectrum Accessen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalGLOBECOM 2017 - 2017 IEEE Global Communications Conferenceen
dc.eprint.versionPost-printen
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabiaen
dc.contributor.institutionUniversity of Idaho, USAen
kaust.authorElsawy, Heshamen
kaust.authorAlouini, Mohamed-Slimen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.grant.numberKAUST-002en
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