Experimental performance analysis for mobile data offloading in heterogeneous wireless networks

Wireless Fidelity (WiFi) offloading is becoming a dominant use case scenario application of WiFi technology for mobile operators in order to satisfy their subscribers increasing demand for mobile bandwidth. In fact, designing and integrating a convergent infrastructure of 3GPP and non-3GPP networks inside mobile operators that can manage connectivity of their subscribers is a challenging task due to existence of several optimization attributes. In this paper, the performance of such a connectivity management platform in a multi-user scenario that uses a Multiple Attribute Decision Making (MADM) algorithm for WiFi offloading in heterogeneous wireless networks is presented. Through experimental results, sensitivity analysis of the proposed algorithm is provided in detail. The experimental results indicate that there is trade-off between the number of connected users to the platform and the attribute values of the greedy MADM algorithm.