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The evolution of the cognitive radio network theory often presents economics-based methods and free market principles in the administration of network functioning. We present here, an application of the agent-based model in the case of an economy consisting of five primary users and secondary users (SUs) uniformly distributed in the linear region. We show that the price-based demand evolution and...
In this paper, we tackle the spectrum allocation problem in cognitive radio networks with the combined solution using the cooperative spectrum sensing a and adaptive spectrum auction process. Different from all the previous work analyzing the traditional spectrum auction mechanisms, we introduce the spectrum sensing impairments resulting to the existence of the risk entering the spectrum auction process...
Dynamic spectrum access (DSA) is a novel mechanism designed to increase the utilization of the radio spectrum. This paper presents a review of state-of-art with the references to the relevant works in the area of DSA. The most important DSA models and the main related challenges are introduced. Dynamic exclusive use model of DSA serves as the underlying platform for the implementation of spectrum...
In this paper, we propose an agent-based model for spectrum trading in the shared use model of dynamic spectrum access. Spectrum trading is employed using the single-unit sealed-bid first-price auction, which takes into the account risk due to the imperfect spectrum sensing. Bidding strategies of the bidder are controlled by the reinforcement learning algorithm. We consider cooperative energy-based...
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