Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Strathclyde
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Output 0 of 0 in the submission
Article title
An advanced SOM algorithm applied to handover management within LTE
Type
D - Journal article
Title of journal
IEEE Transactions on Vehicular Technology
Article number
-
Volume number
62
Issue number
5
First page of article
1883
ISSN of journal
0018-9545
Year of publication
2013
Number of additional authors
4
Additional information
The 4G LTE (long-term evolution) specification includes a self-management architecture to manage the rapid expansion of picocell base-station deployments. This research uses machine learning techniques, as part of this architecture, to autonomically optimise handover between radio cells, hence reducing operational expenditure of network operators. The machine learning algorithms from this research have also found applicability, and have led to two follow-on grants addressing Light as a Service (LaaS) technology [TSB Ref: 29151-212218, £72k, 2013-15; KTP Programme £136k, 2014-16], both with the industrial partner Cisco (UK) [Gareth Macneachdainn, gmacneac@cisco.com].
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Centre for Intelligent and Dynamic Communications (CIDCOM)
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
