A Bayesian Game-Based Incentive Method for Spectrum Sensing Secondary Users

Abstract

The present invention is an incentive-based cooperative spectrum sensing method. The method adds Bayesian incentives in the research of spectrum sensing, and proposes a secondary user incentive algorithm for spectrum sensing based on Bayesian games. In this way, secondary users are encouraged to participate in spectrum sensing, so that secondary users can choose the optimal strategy to participate in sensing or not to participate, so as to obtain the best benefits. Then the secondary users participating in the perception send the perceived data to the fusion center, and the data is fused by voting fusion, and the fusion center judges whether the primary user exists.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a method for stimulating secondary users of spectrum sensing based on Bayesian game. Background technique [0002] With the rapid development of wireless communications, the requirements for spectrum resources are also increasing, and wireless spectrum resources have become a very scarce resource. The emergence of cognitive radio in 1999 provided an effective method for spectrum access, enabling wireless communication devices to discover and rationally utilize spectrum resources, so as to solve the problem of lack of spectrum resources and improve spectrum utilization. It is very important to accurately detect the existence of primary users in a cognitive radio network (CRN, cognitive radio network), so spectrum sensing has become a core technology of cognitive radio. Spectrum sensing technology can be divided into single-user sensing and cooperative spectrum sensing accordi...

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Problems solved by technology

Most of the current literature on the incentive mechanism of crowd sensing does not consider the sensing scenario, nor does it concretize the scenario of crowd sensing to cooperative spectrum sensing

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