Utilizing EEM approach to tackle bandwidth allocation with respect to heterogeneous wireless networks

Abstract

With respect to the rapidly growing Fourth Generation (4G) wireless communication system, an outstanding feature is the heterogeneous wireless access. Despite the fact that this amazing feature allows users to connect to several wireless access networks simultaneously, various challenges with respect to bandwidth allocation (BA) among various heterogeneous networks also arise. A feasible and effective solution to tackle this problem has been proposed in this paper, which concerns a bandwidth allocation using game (BAG) algorithm with respect to heterogeneous wireless networks. This paper proposes modeling a Resource allocation RA or Bandwidth Allocation problem as a game, and then formulating it to increase the total utility to a maximum of the dissimilar networks. The game model that has been proposed in this paper also establishes the existence of the Experimental Economic Method (EEM). In order to divert assigning too much Resource or bandwidth to a single user, utility functions have also been designed. Moreover, simulation results reveal that the scheme proposed in this paper not only achieves a high utility, but also reduces blocking probability within a few iterations.