  An important issue in heterogeneous wireless networks is how to optimally
utilize various radio resources. While many methods have been proposed for
managing radio resources in each network, these methods are not suitable for
heterogeneous wireless networks. In this study, a new management method is
proposed which provides acceptable service quality and roaming rate, reduces
the cost of the service, and utilizes big data technology for its operation. In
our proposed scheme, by considering various parameters such as the type of the
service, the information related to the location of the user, the movement
direction of the user, the cost of the service, and a number of other
statistical measures, the most suitable technology for radio access will be
selected. It is expected that besides improving the decision making accuracy in
selecting the radio access technology and the balanced distribution of network
resources, the proposed method provides lower roaming and lower probability of
stopping roaming requests entering the network. By considering the various
service classes and various quality of service requirements regarding delay,
vibration and so on, this can be useful in optimal implementation of
heterogeneous wireless networks.
