About: Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks

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About: Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	To avoid call drops after handover due to unavailability of radio resources at a target handover cell, call admission control procedure reserves a specific amount of resources for users performing handover to this cell. If a high amount of resources is reserved, the available capacity for users served by the cell is lowered. Contrary, if a low amount of resources is booked for users entering the new cell, handover cannot be performed and user's connection is dropped. To optimize the amount of reserved resources, we propose an algorithm for prediction of channel quality between the user and the target cell after completing handover to the target cell. The algorithm is based on the knowledge of handover hysteresis and on decomposition of overall interference caused by other cells in the network. The prediction accuracy is tuned by correction parameter, which is dynamically set based on Q-learning approach. As the results show, the proposed algorithm with learning improves the efficiency of channel quality prediction up to twice comparing to conventional solution. To avoid call drops after handover due to unavailability of radio resources at a target handover cell, call admission control procedure reserves a specific amount of resources for users performing handover to this cell. If a high amount of resources is reserved, the available capacity for users served by the cell is lowered. Contrary, if a low amount of resources is booked for users entering the new cell, handover cannot be performed and user's connection is dropped. To optimize the amount of reserved resources, we propose an algorithm for prediction of channel quality between the user and the target cell after completing handover to the target cell. The algorithm is based on the knowledge of handover hysteresis and on decomposition of overall interference caused by other cells in the network. The prediction accuracy is tuned by correction parameter, which is dynamically set based on Q-learning approach. As the results show, the proposed algorithm with learning improves the efficiency of channel quality prediction up to twice comparing to conventional solution. (en)
Title	Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks (en)
skos:prefLabel	Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks (en)
skos:notation	RIV/68407700:21230/14:00223318!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GPP102/12/P613)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Bečvář, Zdeněk Mach, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	40982
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00223318
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	handover; prediction; channel quality; small cells (en)
http://linked.open.../riv/klicoveSlovo	prediction small cells handover channel quality
http://linked.open...ontrolniKodProRIV	[D23880EAA6C4]
http://linked.open...v/mistoKonaniAkce	Washington D.C.
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	IEEE 25th Annual International Symposium on Personal, Indoor and Mobile Radio Communications
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Prediction Algorithms for Efficient Mobility Management in Wireless Networks
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bečvář, Zdeněk Mach, Pavel Calvanese Strinati, E.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-02 (xsd:date)
issn	2166-9589
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Conference Publications
https://schema.org/isbn	978-1-4799-4912-0
http://localhost/t...ganizacniJednotka	21230

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