Title
A SON function for steering users in multi-layer LTE networks based on their mobility behaviour
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Faculty of Arts. History
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Economics
Mass communications
Computer. Automation
Source (journal)
2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
Source (book)
81st IEEE Vehicular Technology Conference (VTC Spring), MAY 11-14, 2015, Univ Strathclyde, Technol Innovat Ctr, Univ Strathclyde, Technol Innovat Ctr, Glasgow, SCOTLAND
Volume/pages
(2015) , 7 p.
ISSN
1550-2252
ISBN
978-1-4799-8088-8
ISI
000371404700062
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In cellular networks, users that make frequent handovers and have a low time-of-stay in a cell (i.e., highly mobile users) might have a negative impact on the network performance. Furthermore the Quality of Service (QoS) experienced by these users might be low. This paper introduces a Self-Organising Network (SON) function, called the High Mobility SON function, that aims at reducing the amount of short stays in a multi-layer Long-Term Evolution (LTE) network. It does this by predicting the mobility behaviour of currently active users based on measurements, which were collected by users that were active in the past. Based on these predictions, the SON function aims at refraining from handovers to cells in which the user is likely to stay for a small amount of time, and at steering the user more appropriately. To assess the ability of the SON function to achieve its goals, simulations were performed in a scenario in which both macro and micro cells are deployed. Results show that the developed SON function is able to reduce the number of handovers by 17-23% and the number of short stays by as much as 43-49% at the cost of reducing the spectral efficiency by 13-15%.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371404700062&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000371404700062&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
https://repository.uantwerpen.be/docman/iruaauth/cea46e/133176.pdf
Handle