Cognitive wireless network cooperation frequency spectrum detection method based on sensing node credibility

A cognitive wireless network and sensing node technology, which is applied in the field of collaborative spectrum detection based on the trust of sensing nodes, can solve the problems of not improving the spectrum sensing performance of the fusion center, deteriorating the spectrum sensing performance, and reducing the sensing accuracy. The impact of sporadic errors on spectrum detection, the effect of saving network system overhead and improving detection performance

Inactive Publication Date: 2017-07-18
NANTONG UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If some nodes with low reliability participate in the sensing data fusion of the fusion center, it will not only not improve the spectrum sensing performance of the fusion center, but will deteriorate the spectrum sensing performance, reduce the sensing accuracy, and cause a waste of network resources.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Cognitive wireless network cooperation frequency spectrum detection method based on sensing node credibility
  • Cognitive wireless network cooperation frequency spectrum detection method based on sensing node credibility
  • Cognitive wireless network cooperation frequency spectrum detection method based on sensing node credibility

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0034] like figure 1 , in a cognitive wireless network system including at least one primary user, N cognitive users and a fusion center, the cognitive user detects the surrounding spectrum environment, and there are two detection results: 1. The spectrum of the detection segment in the network Busy, the primary user is using the spectrum; 2. The spectrum of the detection segment in the network is idle, and the primary user is not using the spectrum.

[0035] The sensing node i uses an energy detection algorithm (actually any single-node spectrum detection method can be used, such as matched filter detection, cyclostationary detection, eigenvalue detection, etc.) to the received signal x i Whether there is a primary user signal s(t) in (t), perform hypothesis testing to obtain the local detection result d i . If the primary user signal s(t) ex...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a cognitive wireless network cooperation frequency spectrum detection method based on sensing node credibility, and the method comprises the steps: selecting a sensing node with the higher credibility to participate in the cooperation through setting a proper credibility threshold; designing a reasonable global frequency spectrum detection judgment statistic and judgment threshold for frequency spectrum detection judgment, thereby eliminating the impact on the cooperation frequency spectrum detection performances from a low-reliability node and fault or malicious nodes, reducing the network system expenditure, and prolonging the life cycle of a network. Specifically, the method employs the steps that each sensing node transmits a respective obtained local frequency spectrum detection result to a fusion center; the fusion center calculates the credibility of the corresponding sensing node according to the detection rate and false alarm rate of each sensing node, selects the node with the high credibility to participate in the cooperation, prevents the low-credibility sensing node and the fault or malicious nodes from participating in the cooperation frequency spectrum detection, selects the proper historical information length and a proper weighting factor, and reduces the impact on the frequency spectrum detection from an accidental error when the sensing nodes carry out the local detection.

Description

technical field [0001] The invention relates to a spectrum sensing and detection technology in a cognitive wireless communication network, and more particularly to a cooperative spectrum detection technology based on the trust degree of sensing nodes in a cognitive wireless network environment. Background technique [0002] With the continuous growth of wireless data services, the available wireless spectrum resources are becoming more and more scarce. On the other hand, the current utilization of wireless spectrum resources is very unbalanced, and there are a large number of licensed frequency bands with low spectrum utilization. Cognitive Radio (CR) is one of the technical means for intelligently sensing the spectrum environment and efficiently utilizing the wireless spectrum, which has attracted widespread attention. [0003] In a cognitive wireless network, in order to avoid interference to the primary (authorized) user, the cognitive user needs to continuously, accurat...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/382
CPCH04B17/382
Inventor 张士兵王莉吴潇潇张晓格包志华
Owner NANTONG UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products