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Smart Pricing is a dynamic pricing scheme which varies price in response to the relative scarcity of network resources and has been developed by a team including the authors to be implemented on 3G mobile telecommunications networks. This paper analyses the necessary signaling requirements and proposes a signaling model for Smart Pricing. In this model, a new network element called Dynamic Pricing Engine is proposed. This element is responsible for setting tariffs depending on the level of congestion in a cell and specifies the Quality of Service required. Simulations have yielded relationships between the arrival rates for multiple services (such as voice calls and video conferencing) and signaling load. We are also able to estimate how much of that signaling volume results in billable events (so-called cost-recoverable signaling) versus signaling which does not, such as abandoned call attempts (cost non-recoverable signaling) over a range of traffic volumes.

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Smart Dynamic Pricing has been introduced to address the under-utilised network resources problem in mobile telecommunications systems. In this paper, we investigate the applicability of Smart Dynamic Pricing and its signalling models into Cognitive Radio Systems. Cognitive Radio System is defined as one in which cognitive radios are employed to access shared spectrum and/or dynamically allocated spectrum. Network elements, protocols, traffic and control channels, and system architecture are proposed for the implementation of Smart Dynamic Pricing in Cognitive Radio System. It is found that Smart Dynamic Pricing and its signalling models can be applied to Cognitive Radio Systems.