Abstract |
The wireless access, use and traffic demand are on a fast rise, leading to an increased demand for radio spectrum. On the other hand, cur¬rent spectrum allocation policies are highly inefficient resulting in an underutilization of this valuable natural resource. To increase spec¬tral efficiency, the research community has proposed cognitive radios that enable new network architectures and access markets, opening new opportunities for business cases. Unlike traditional cellular-based markets, these markets have larger sizes, are more heterogeneous, and potentially can offer an improved set of services.
This thesis presents a modeling framework and simulation platform for access markets. It integrates models of the customers (e.g., pref¬erence, demand, mobility, transmission power, willingness-to-pay), channel, provider infrastructure deployment, customer distribution, and price-adaptation mechanisms. Providers aim to maximize their own profit, while clients decide based on various criteria, such as the financial cost of their access, transmission rate and required transmis-sion power. Moreover, it introduces the "flexi-card", a novel service paradigm that allows a user with a cognitive radio to dynamically access Base stations (BSs) of different providers based on various cri¬teria, such as its profile, network conditions, and offered prices. Card users can select the appropriate operator and BS on a per-call ba¬sis. Customers could dynamically decide to buy a long-term subscrip¬tion or become card users. This research analyzes the evolution of a duopoly that offers the flexi-card service as well as long term subscrip¬tions, considering a diverse customer population from the perspective of customers, providers, and regulators. The analysis demonstrates that the flexi-card substantially improves the performance of a market in terms of the percentage of disconnected users, blocking probability, and social welfare.
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