Method for cooperative spectrum detection based on node recognition

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...

AI Technical Summary

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 studies reduce the influence of faulty or malicious nodes on the collaborative spectrum detection results by reducing the weighting coefficients of sensing nodes with low reliability, but fail to eliminate the interference of faulty or malicious nodes on accurate spectrum sensing

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