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High-efficiency cooperative spectrum sensing method based on QoS guarantee in cognitive radio network

A cognitive radio, cooperative spectrum technology, applied in the field of high-efficiency cooperative spectrum sensing, can solve the problems of paying fines, main user interference, error detection, etc., to maximize utility and ensure the effect of QoS requirements

Active Publication Date: 2018-10-19
ARMY ENG UNIV OF PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] A basic trade-off in cooperative spectrum sensing is: if more cognitive users participate in sensing, the sensing performance can be improved, but the transmission power required for signal measurement and the amount of communication overhead in the secondary network will also increase with the cooperative users. number linear growth
If the cognitive user successfully detects that the primary user does not exist, it can use the idle spectrum to gain benefits; if the primary user exists, the cognitive user mistakenly detects that the primary user does not exist, because its access will affect the primary user If it causes interference, it should pay a fine; each cognitive user needs to consume system resources in the perception process, and has to pay a certain price for this

Method used

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  • High-efficiency cooperative spectrum sensing method based on QoS guarantee in cognitive radio network
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  • High-efficiency cooperative spectrum sensing method based on QoS guarantee in cognitive radio network

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Embodiment Construction

[0057] Part 1: Analyze the system model and construct the utility function.

[0058] In a cognitive radio network, k cognitive users participate in cooperation. From an economic point of view, the utility function U(k) can be defined as follows:

[0059] U(k)=α[1-Q f (k)]p(H 0 )-βQ m (k)p(H 1 )-R·k

[0060] Among them, U(k) represents the utility of the cognitive network, p(H 0 ) represents the probability that the primary user does not exist, p(H 1 ) represents the probability that the primary user exists. The first part represents the benefit obtained by the cognitive user from successfully utilizing the idle spectrum, the second part represents the penalty that the cognitive user should pay, and the interference to the primary user due to missed detection, and the third part represents the cost of consuming system resources . Among them, α, β and R denote the price of each part respectively.

[0061] If more cognitive users are allocated for cooperative perception,...

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Abstract

Provided is a high-effect cooperative spectrum sensing method based on quality of service (QOS) guarantee in cognitive radio networks. A first part builds a system model and analyses the problems of sensing performance and resource consumption balance. A second part achieves cooperative spectrum sensing optimal soft information fusion strategy and an optimal energy detector threshold is obtained. On the condition of the optimal energy detector threshold, an optimal cognitive user number which is involved in cooperation is obtained and effect of a cognitive network is maximized. A third part decides by using a random criterion in a cooperative spectrum sensing hard decision fusion center, optimizes a final decision threshold and achieves dynamic adjustment of the hard decision threshold. On the condition of an optimal threshold, an optimal cognitive user number which is involved in cooperation is obtained, and effect of the cognitive network is maximized. Compared with a threshold-deciding strategy, an optimizing strategy can obtain larger effect by using less cooperative users. The high-effect cooperative spectrum sensing method based on the QOS guarantee in the cognitive radio networks is easy to achieve and popularize.

Description

technical field [0001] The invention designs high-efficiency cooperative spectrum sensing based on QoS guarantee, and realizes an optimal soft information fusion strategy and an optimal hard decision fusion strategy. By weighting perception performance and resource consumption, in order to maximize system utility, the optimal number of cognitive users participating in cooperation is obtained, which belongs to the field of communication technology. Background technique [0002] The concept of cognitive radio was first proposed by J.Mitola. His definition of cognitive radio was based on software radio, and he integrated the knowledge in the field of computational intelligence he studied into software radio. In his doctoral dissertation, Mitola mentioned that cognitive radio has "self-aware" and "self-adaptive" on the basis of the great flexibility of software radio, and proposed cognitive radio The system interacts with the environment through cognitive loops. In fact, the i...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/14H04W24/00
CPCY02D30/70
Inventor 胡航张杭路威陈乾张江辜方林谭晓波孙爱伟于鸿
Owner ARMY ENG UNIV OF PLA