DocumentCode :
3667707
Title :
Dynamic optimization of QoS for moving users in an OFDMA network with semi-smart antennas
Author :
Aini Li;Laurie Cuthbert;Yapeng Wang
Author_Institution :
Queen Mary University of London, Electronic Engineering and Computer Science, UK
fYear :
2015
Firstpage :
1068
Lastpage :
1072
Abstract :
In today´s wireless communications, the need to consider the Quality of Service (QoS) requirements of individual users is gaining widespread acceptance. Previous work showed that an OFDMA spectrum sharing network solution based on semi-smart antennas gave a performance improvement of around 10% in terms of the number of qualified users. Optimization of the semi-smart antenna radiation patterns using Genetic Algorithm produced a dynamic cell boundary and flexible cell coverage. However in a realistic network, it is not sensible to expect cell boundaries to change rapidly as this would lead to increased handovers and signalling. In this paper the optimization approach is tested with users moving as movement would lead to the greatest likelihood of patterns changing and hence increased handovers to research when to change antenna pattern with user movement. This paper proposes a periodic optimization scheme that is found to lead to a significant improvement in the ratio of qualified users.
Keywords :
"Optimization","Resource management","Quality of service","Genetic algorithms","Antenna radiation patterns","Handover"
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International
Type :
conf
DOI :
10.1109/IWCMC.2015.7289230
Filename :
7289230
Link To Document :
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