@inproceedings{3bd56f83259d42fdb30ba4c3de2693fb,
title = "Dynamic optimization of QoS for moving users in an OFDMA network with semi-smart antennas",
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 = "OFDMA, QoS, antenna pattern, periodic optimization, qualifed user, semi-smart antennas, user movement",
author = "Aini Li and Laurie Cuthbert and Yapeng Wang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015 ; Conference date: 24-08-2015 Through 28-08-2015",
year = "2015",
month = oct,
day = "2",
doi = "10.1109/IWCMC.2015.7289230",
language = "English",
series = "IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1068--1072",
booktitle = "IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference",
address = "United States",
}