A utility-based intelligent network selection for 3G and WLAN heterogeneous networks

In establishing of next-generation wireless networks, finding the best connection is a key challenge. An algorithm based on utility theory has been proposed in this paper to evaluate all these wireless networks, in terms of network performances and user behaviours. By applying the utility function, user satisfaction can be mathematically calculated in terms of the criterion received by each user. A single criterion function with sigmoid type has been chosen, by which the user behaviour can be perfectly described. Next, a novel aggregate method has been added, with user preference involved, to calculate the overall utility. The network with highest utility is the best choice for user. Both theoretical analysis and practical simulation have proved the effectiveness of our proposed algorithm. (6 pages)