Economic node allocation in software defined wireless networks with forecasted traffic and distance constraints

5G networks are expected to be highly dense and heterogeneous. Building up such a network require a lot of capital investment. Hence, it is essential to optimize the resource utilization, maximize the network availability and minimize the operational cost with acceptable quality of experience(QOE) and quality of service(QOS) parameters. In this research paper, we present a cost effective node allocation method based on traffic forecast in virtual wireless networks(VWN) with grid topology. The problem is formulated using linear programming. Our simulation results show that, it reduces the service provider's operational cost. We propose to use this method as a service in VWN in the Software Defined Networking(SDN) context. An architecture supporting the formulation has also been proposed.