Distributed cooperation frequency spectrum perception method in cognitive radio Ad hoc network

Abstract

The invention provides a distributed cooperation frequency spectrum perception method in a cognitive radio Ad hoc network, wherein the method relates to the cognitive radio field in wireless communication technology. For aiming at problems of high distributed cooperation difficulty and high total-network cooperation cost in the cognitive radio Ad hoc network, latest development of a gradient algorithm is applied in the method. The distributed cooperation frequency spectrum perception method realizes full-distributed, steady and reliable distributed cooperation frequency spectrum perception on the condition that network perception cost is greatly reduced. Through designing an optimal cost function, calculating number of optimal cooperation nodes, and selecting nodes for performing the distributed cooperation algorithm according to the number of the optimal cooperation nodes, a perception result is obtained and is broadcast to total-network users. According to the distributed cooperation frequency spectrum perception method, knowing of prior information of a signal-to-noise ratio by a cognitive user is not required, and no central controller is required, thereby greatly reducing perception expenditure and obtaining a detecting performance which is approximate to a total-network gradient cooperation solution.

Description

technical field [0001] The invention relates to the field of cognitive radio in wireless communication technology, in particular to a new method for realizing distributed cooperative spectrum sensing in a cognitive self-organizing network. Background technique [0002] At present, with the rapid growth of the types of wireless communication services, the demand for wireless spectrum resources is also increasing exponentially, making the problem of "shortage" of spectrum resources for future wireless communication increasingly prominent. Cognitive radio technology utilizes the idle frequency band of licensed users in the way of "opportunistic access" under the condition of ensuring the quality of service of licensed users, which greatly improves the efficiency of spectrum use. It is an effective method to solve the problem of "spectrum scarcity". practical significance and broad application prospects. Spectrum sensing technology is used to effectively detect the current work...

AI Technical Summary

Problems solved by technology

[0007] The current distributed CSS method only considers the small-scale network scenario, and assumes that all users participate in the collaboration. Then, when the network scale continues to expand and the number of SUs continues to increase, all SUs participating in the collaboration will bring huge perception overhead. , and SU users in different spatial locations will experience channel environments affected by factors such as different path loss, multipath fading, shadowing effects, etc., and there are also great differences in detection reliability

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