Dynamic Access Point Selection and Resource Allocation in Multi-Technology Wireless Network

Heterogeneous Network (HetNet) is among the most important challenges for the upcoming cellular wireless networks. In this paper, we propose a method to optimize the Radio Access Technologies (RATs) selection and resource allocation in multitechnology wireless networks during a time period. We optimized on a realistic topology of Base Stations (BS) with overlaps of the cellular coverage and dynamic users traffic (arrival and departure). The optimization takes into account the requested services, different users' contract, and user satisfaction. Furthermore, in the proposed approach, we add constraints to ban the session drops and handovers for static users. For each instance, we formulate the problem as a linear optimization problem and we optimize it successively. The aim of the optimization is to jointly maximize the overall user satisfaction and the number of users connected. Compared with a legacy approach, numerical results show that our solution outperforms in terms of user satisfaction.