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Optimum k value solving method of k-out-of-n rule in cognitive radio network

A cognitive wireless network and policy technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as not considering the impact of detection thresholds

Inactive Publication Date: 2014-09-24
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The article fully considers the impact of the error probability of the perception result report on K-rank fusion, but the author does not consider the impact of a single secondary user detection threshold on K-rank fusion

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  • Optimum k value solving method of k-out-of-n rule in cognitive radio network
  • Optimum k value solving method of k-out-of-n rule in cognitive radio network
  • Optimum k value solving method of k-out-of-n rule in cognitive radio network

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Embodiment Construction

[0035]The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0036] This embodiment is a method for solving the optimal k value of the K-rank fusion strategy in a cognitive wireless network. The cognitive wireless network is composed of secondary users and secondary user base stations. The number of secondary users in the network is set to 5, and the secondary users receive The signal-to-noise ratio of the primary user signal γ=-10dB, the probability of the primary user occupying the channel ρ=0.3, and the spectrum sensing time of a single secondary user is τ...

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Abstract

The invention provides an optimum k value solving method of a k-out-of-n rule in a cognitive radio network. The n value is given and minimum cooperative sensing error probability is regarded as a target; the optimum k value can be solved out through partial differential under the condition that the single secondary user spectrum sensing detection threshold is known; and thus when the detection threshold is unknown, the optimum k value can be obtained through the solving method provided in the invention. According to the solving method, under the condition that the number of secondary users participating the cooperative sensing is known, through solving the detection threshold range under different k values, with the minimum K-rank fusion error probability being regarded as the target, the optimum detection threshold under different k values can be obtained; and the optimum k value can be discussed according to the optimum detection threshold under different k values; and the method can effectively reduce the cooperative sensing error probability.

Description

technical field [0001] The present invention relates to the technical field of cooperative spectrum sensing in a cognitive wireless network, in particular to a method for solving an optimal k value of cooperative sensing based on a K-rank fusion strategy in a cognitive wireless network. Background technique [0002] In cognitive wireless networks, secondary users can obtain real-time spectrum status through spectrum sensing, identify available spectrum resources, and adaptively modulate parameters such as carrier frequency and bandwidth to access the available spectrum resources for data transmission. In order to further reduce the interference of secondary users on the normal communication of primary users and reduce the influence of multipath and shadow effects, a cooperative spectrum sensing mechanism is proposed and applied in cognitive wireless networks to effectively improve the accuracy of spectrum sensing and ensure the accuracy of primary users and Quality of servic...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/00
Inventor 吴呈瑜何晨蒋铃鸽
Owner SHANGHAI JIAO TONG UNIV
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