Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223318" target="_blank" >RIV/68407700:21230/14:00223318 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Q-Learning-based Prediction of Channel Quality after Handover in Mobile Networks
Original language 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
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GPP102%2F12%2FP613" target="_blank" >GPP102/12/P613: Prediction Algorithms for Efficient Mobility Management in Wireless Networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
—
Number of pages
6
Pages from-to
1359-1364
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
—