Queueingbased spectrum pricing and selection in cognitive radio networks
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School of Communication and Information Engineering, Shanghai University, Shanghai 200072,China

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TN929.5

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    Abstract:

    The issue of spectrum leasing between primary and secondary users combining queueing theory have been studied in cognitive radio. The paper formulate a duopoly model based on sharing access mechanism of M/M/1 queueing model. Considering both pricing and heterogeneous secondary users access selection problem, we analyze the spectrum selection strategy for maximizing the revenue of POs and minmizing the cost of users, and the optimal pricing based on noncooperative competition and cooperative game is structured. A unique Wardrop equilibrium is reached by heterogeneous secondary users for this spectrum selection. The convex optimization and the Lagrange dual approach is proposed to solve the optimization of cooperative game. The revenue and pricing strategy for both noncooperative competition and cooperative game are compared via numerical simulations.

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  • Received:
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  • Online: July 13,2017
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