Multi-Agent Wireless System for Dynamic and Local Combined Pricing, Allocation and Billing

Abstract

In established communication systems prices are determined quasi-static and for a large area according to a fixed price model. Additionally, the main decision criteria of resource allocation is the arrival time of resource requests. This system approach is not able to respond to the spatial distributed and dynamic users’ demand and willingness-to-pay. In this paper a system will be proposed to combine pricing, allocation and billing in order to react dynamically and locally to the market assuming that the user terminal has cognitive radio abilities and multiple interfaces.