Spectrum management needs to be effective, in that spectrum must be allocated to the right uses, and efficient, in that spectrum must be assigned to those that value it the most. Technological advances and demands for further spectrum availability from mobile broadband operators (among others) require spectrum management to timely and firmly incorporate schemes to increase the technical efficiency of spectrum utilisation. One such scheme is spectrum sharing which has the potential to result in higher spectrum utilization and greater spectrum value. In such context allocation and assignment, two critical functions to manage the spectrum, are also discussed. By means of tutorial-styled presentation of spectrum sharing techniques and policy decisions this paper argues that in the course of deciding about allocation and assignment of spectrum, a spectrum authority can and should include market-based mechanisms that incentivize incumbents to share spectrum needed by entrants.
Technology and policy are coming together to enable a paradigmatic change to the most widely used mechanism, exclusive rights, which allows mobile telecommunications operators to use the radio spectrum. Although spectrum sharing is not a new idea, the limited supply of spectrum and the enormous demand for mobile broadband services are forcing spectrum authorities to look more closely into a range of tools that might accelerate its adoption. This paper seeks to understand how co-existence and co-operation of Wi-Fi and cellular networks in the unlicensed spectrum can increase the overall capacity of heterogeneous wireless networks. It also reveals the challenges posed by new uses such as machine-to-machine communications and the Internet of Things. It also brings together two major proposed regulatory approaches, such as those by the UKs Ofcom and the European Commission, which currently represent leading efforts to provide spectrum authorities with robust spectrum sharing frameworks, to discuss policy tools likely to be implemented.
Abstract-we present a generic, agent-based simulation environment for dynamic pricing in next-generation wireless networks. While a lot of effort has been put into simulation platforms for recreating the behaviour of IP-based traffic in fixed and wireless networks, no standard platform for simulating different pricing schemes in such networks has yet emerged. Our work is driven by the vision of a ubiquitous wireless network environment, in which users can dynamically request network resources for various uses from different, potentially competing network providers. For such a scenario, new pricing approaches are needed to charge the user according to dynamic factors such as current congestion levels or the the number of customers present at a specific location. The developed simulation environment serves as a generic tool for implementing and testing different pricing approaches.
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