Dynamic optimization of QoS for moving users in an OFDMA network with semi-smart antennas

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.