Mobility prediction in wireless cellular networks for the optimization of call admission control schemes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86090806" target="_blank" >RIV/61989100:27240/14:86090806 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CCECE.2014.6900981" target="_blank" >http://dx.doi.org/10.1109/CCECE.2014.6900981</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CCECE.2014.6900981" target="_blank" >10.1109/CCECE.2014.6900981</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mobility prediction in wireless cellular networks for the optimization of call admission control schemes

Popis výsledku v původním jazyce

n last years there have been a growing interest for cellular networking, due to the availability of different mobile applications and the explosion of mobile devices utilization. If managed in an adequate way, cellular systems with mobile hosts can offerexcellent performance and satisfactory QoS levels. In order to avoid service degradations, it is very important to decide whether a new connection can be accepted into the system, with the main aim of maximizing bandwidth utilization while avoiding quality degradations, with more emphasis for non-tolerant applications. Our proposed idea shows how a statistical approach can enhance system performance, without considering a particular prediction scheme (based on Markov theory, neural networks, data mining, Holt-Winters or similars): the proposal has been integrated with a threshold-based statistical bandwidth multiplexing scheme in order to propose the In-Advance Multiplexing Call Admission Control (IAM-CAC) scheme for cellular networks.

Název v anglickém jazyce

Mobility prediction in wireless cellular networks for the optimization of call admission control schemes

Popis výsledku anglicky

n last years there have been a growing interest for cellular networking, due to the availability of different mobile applications and the explosion of mobile devices utilization. If managed in an adequate way, cellular systems with mobile hosts can offerexcellent performance and satisfactory QoS levels. In order to avoid service degradations, it is very important to decide whether a new connection can be accepted into the system, with the main aim of maximizing bandwidth utilization while avoiding quality degradations, with more emphasis for non-tolerant applications. Our proposed idea shows how a statistical approach can enhance system performance, without considering a particular prediction scheme (based on Markov theory, neural networks, data mining, Holt-Winters or similars): the proposal has been integrated with a threshold-based statistical bandwidth multiplexing scheme in order to propose the In-Advance Multiplexing Call Admission Control (IAM-CAC) scheme for cellular networks.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Canadian Conference on Electrical and Computer Engineering 2014

ISBN

978-1-4799-3099-9

ISSN

0840-7789

e-ISSN

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Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Toronto

Datum konání akce

4. 5. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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