Path Selection Using Handover in Mobile Networks with Cloud-enabled Small Cells
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223319" target="_blank" >RIV/68407700:21230/14:00223319 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Path Selection Using Handover in Mobile Networks with Cloud-enabled Small Cells
Original language 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 algorithmfor 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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE 25th Annual International Symposium on Personal, Indoor and Mobile Radio Communications
ISBN
978-1-4799-4912-0
ISSN
2166-9589
e-ISSN
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Number of pages
6
Pages from-to
1480-1485
Publisher name
IEEE Conference Publications
Place of publication
Piscataway
Event location
Washington D.C.
Event date
Sep 2, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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