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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00223319%21RIV15-MSM-21230___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
To overcome latency constrain of common mobile cloud computing, computing capabilities can be integrated into a base station in mobile networks. This exploitation of convergence of mobile networks and cloud computing enables to take advantage of proximity between a user equipment (UE) and its serving station to lower latency and to avoid backhaul overloading due to cloud computing services. This concept of cloud-enabled small cells is known as small cell cloud (SCC). In this paper, we propose algorithm for selection of path between the UE and the cell, which performs computing for this particular UE. As a path selection metrics we consider transmission delay and energy consumed for transmission of offloaded data. The path selection considering both metrics is formulated as Markov Decision Process. Comparing to a conventional delivery of data to the computing small cells, the proposed algorithm enables to reduce the delay by 9% and to increase users' satisfaction with experienced delay by 6.5%. To overcome latency constrain of common mobile cloud computing, computing capabilities can be integrated into a base station in mobile networks. This exploitation of convergence of mobile networks and cloud computing enables to take advantage of proximity between a user equipment (UE) and its serving station to lower latency and to avoid backhaul overloading due to cloud computing services. This concept of cloud-enabled small cells is known as small cell cloud (SCC). In this paper, we propose algorithm for selection of path between the UE and the cell, which performs computing for this particular UE. As a path selection metrics we consider transmission delay and energy consumed for transmission of offloaded data. The path selection considering both metrics is formulated as Markov Decision Process. Comparing to a conventional delivery of data to the computing small cells, the proposed algorithm enables to reduce the delay by 9% and to increase users' satisfaction with experienced delay by 6.5%.
dcterms:title
Path Selection Using Handover in Mobile Networks with Cloud-enabled Small Cells Path Selection Using Handover in Mobile Networks with Cloud-enabled Small Cells
skos:prefLabel
Path Selection Using Handover in Mobile Networks with Cloud-enabled Small Cells Path Selection Using Handover in Mobile Networks with Cloud-enabled Small Cells
skos:notation
RIV/68407700:21230/14:00223319!RIV15-MSM-21230___
n3:aktivita
n13:R
n3:aktivity
R
n3:dodaniDat
n15:2015
n3:domaciTvurceVysledku
n14:2734796 n14:7427549
n3:druhVysledku
n20:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
35909
n3:idVysledku
RIV/68407700:21230/14:00223319
n3:jazykVysledku
n19:eng
n3:klicovaSlova
small cells; mobile cloud computing; path selection; energy efficiency; LTE
n3:klicoveSlovo
n4:energy%20efficiency n4:LTE n4:path%20selection n4:small%20cells n4:mobile%20cloud%20computing
n3:kontrolniKodProRIV
[7879C49203CE]
n3:mistoKonaniAkce
Washington D.C.
n3:mistoVydani
Piscataway
n3:nazevZdroje
IEEE 25th Annual International Symposium on Personal, Indoor and Mobile Radio Communications
n3:obor
n12:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n15:2014
n3:tvurceVysledku
Bečvář, Zdeněk Plachý, Jan
n3:typAkce
n5:WRD
n3:zahajeniAkce
2014-09-02+02:00
s:issn
2166-9589
s:numberOfPages
6
n9:hasPublisher
IEEE Conference Publications
n18:isbn
978-1-4799-4912-0
n6:organizacniJednotka
21230