Optimal caching policy for wireless content delivery in D2D networks

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dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorAli A.S.
dc.contributor.authorMahmoud K.R.
dc.contributor.authorNaguib K.M.
dc.contributor.otherDepartment of Electronics
dc.contributor.otherCommunications and Computers
dc.contributor.otherFaculty of Engineering
dc.contributor.otherHelwan University
dc.contributor.otherCairo
dc.contributor.otherEgypt; National Telecommunications Regulatory Authority
dc.contributor.otherMinistry of Communication and Information Technology
dc.contributor.otherGiza
dc.contributor.otherEgypt; Department of Electrical Systems Engineering
dc.contributor.otherFaculty of Engineering
dc.contributor.otherOctober University for Modern Sciences and Arts (MSA)
dc.contributor.otherGiza
dc.contributor.otherEgypt
dc.date.accessioned2020-01-09T20:40:29Z
dc.date.available2020-01-09T20:40:29Z
dc.date.issued2020
dc.descriptionScopus
dc.description.abstractThe huge demand for multimedia services has exponentially grown in mobile networks and is expected to congest cellular traffic in the near future. Since network resources are limited, content caching may be considered a superior solution to offload data traffic during peak times. Content caching in mobile devices together with Device-to-Device (D2D) communications can improve the performance of cellular wireless networks. Predicting user demand and his mobility pattern allows the network to proceed proactive caching in order to relieve the network congestion and hence decreases the network load as well as its service cost. Moreover, performing an optimal caching policy is one of the important issues to maximize the offloading probability and as a result enhances the overall network performance. In this paper, we are introducing an incentive caching policy in which networks jointly considers the user preference and group mobility for the caching problem. Firstly, the cost optimal caching problem for the network is formulated. Then, the overall network cost is minimized due to the effect of user demand and group mobility using the Frequency Searching Adaptive Bat Algorithm (FSABA) by optimizing the cached portions of requested files. System performance analysis in terms of the overall network gain, average transmission delay and offloading probability are derived and evaluated according to the achieved optimal cached portions. Extended simulations are carried out to validate the beneficial of the presented optimal caching policy. Additionally, to verify the effectiveness of FSABA, the results are compared with those obtained using the Particle Swarm Optimization (PSO) algorithm. The results show that the proposed caching scheme outperforms both the baseline scenario and the random mobility-based schemes. It is worth mentioning that the FSABA can achieve a superior convergence capability compared to the PSO. � 2019 Elsevier Ltden_US
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=27277&tip=sid&clean=0
dc.identifier.doihttps://doi.org/10.1016/j.jnca.2019.102467
dc.identifier.doiPubMed ID :
dc.identifier.issn10848045
dc.identifier.otherhttps://doi.org/10.1016/j.jnca.2019.102467
dc.identifier.otherPubMed ID :
dc.identifier.urihttps://t.ly/w1mB0
dc.language.isoEnglishen_US
dc.publisherAcademic Pressen_US
dc.relation.ispartofseriesJournal of Network and Computer Applications
dc.relation.ispartofseries150
dc.subjectAverage transmission delayen_US
dc.subjectCaching policyen_US
dc.subjectDevice-to-Device cachingen_US
dc.subjectFrequency searching adaptive bat algorithmen_US
dc.subjectGroup mobilityen_US
dc.subjectOffloading probabilityen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectUser preferenceen_US
dc.subjectCache memoryen_US
dc.subjectMobile telecommunication systemsen_US
dc.subjectMultimedia servicesen_US
dc.subjectProbabilityen_US
dc.subjectWireless networksen_US
dc.subjectAverage transmission delaysen_US
dc.subjectBat algorithmsen_US
dc.subjectCaching policyen_US
dc.subjectDevice-to-Device cachingen_US
dc.subjectGroup mobilityen_US
dc.subjectUser preferenceen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.titleOptimal caching policy for wireless content delivery in D2D networksen_US
dc.typeArticleen_US
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