Method for cooperative spectrum detection based on node recognition

A collaborative spectrum and detection method technology, applied in the field of cognitive network spectrum sensing, can solve the problems of decreased data transmission efficiency, reduced reliability, and increased communication system overhead

Active Publication Date: 2014-09-24
嘉兴市燕知网络科技有限公司
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Problems solved by technology

From the perspective of actual communication, firstly, it is very difficult to obtain these prior information; secondly, as the number of sensing nodes increases, the overhead of the communication system increases and the efficiency of data transmission decreases
In addition, these

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  • Method for cooperative spectrum detection based on node recognition
  • Method for cooperative spectrum detection based on node recognition
  • Method for cooperative spectrum detection based on node recognition

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0036] Such as figure 1 , in a cognitive wireless network including at least one primary user, N cognitive users and at least one fusion center, the cognitive users perform spectrum detection on the surrounding environment, and there are two hypotheses H for the detection results 1 and H 0 , where H 1 Indicates that the spectrum of the detection section in the network is busy, and the primary user is using this section of spectrum; H 0 Indicates that the spectrum of the detection section in the network is idle, and the primary user is not using this section of spectrum. Spectrum detection of the i-th cognitive user (sensing node), i=1...N, can be modeled as a binary hypothesis testing problem

[0037] H 1 : ...

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Abstract

The invention relates to a method for cooperative spectrum detection based on node recognition. In a cognition wireless network comprising at least one master user, N cognition users and at least one fusion center, the master users generate master user signals s(t) of authorized spectrums, and the N cognition users form N sensor nodes. The method is characterized in that signals xi(t) received in the ith sensor node spectrum detection process are divided into signals H1 of the busy authorized spectrums in the network and signals H0 of the idle spectrums, the gain of a channel of an ith node is hi(t), additive white Gaussian noise of the channel is ni(t), wherein i = 1...N, node spectrum detection can be modeled into a binary hypothesis testing problem which can be seen in the specification, hypothesis testing is conducted on the received signals xi(t) through the ith sensor node, a local detection result '1' or '0' is acquired, '1' means that the hypothesis H 1 is valid, and '0' means that the hypothesis H0 is valid. The method is used for spectrum detection, the bad influences of faults or malicious nodes on collaboration spectrum detection are eliminated, and cost of a cognition network system is reduced.

Description

technical field [0001] The present invention relates to cognitive network spectrum sensing technology, in particular to a cooperative spectrum detection technology based on sensing node identification. Background technique [0002] With the growth of wireless data services, spectrum resources are becoming increasingly scarce, and cognitive radio (CR) emerges as the times require. Its leading idea is to implement opportunistic dynamic spectrum access. Cognitive users opportunistically access idle frequency bands that have been allocated to primary users but are temporarily unused through spectrum detection, thereby improving spectrum utilization. [0003] In a cognitive network, in order to avoid interference to the primary (licensed) user, the cognitive (unlicensed) user must detect the spectrum when accessing the licensed frequency band opportunistically. If it is detected that the spectrum is busy (the primary user is using it), the cognitive user does not access the spec...

Claims

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Application Information

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IPC IPC(8): H04B17/00H04W24/00
Inventor 张士兵宋莲莲刘燕王镇
Owner 嘉兴市燕知网络科技有限公司
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