Cooperative Spectrum Sensing Method

A technology of cooperative spectrum sensing and cognitive radio, applied in the field of cognitive radio, it can solve the problems of not giving the relational expression of the threshold value and signal-to-noise ratio of a single link, and not giving the expression, so as to reduce feedback Effects of Signaling Overhead

Inactive Publication Date: 2016-12-14
SHANGHAI RES CENT FOR WIRELESS COMM
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above literature describes the threshold value calculated according to the minimum probability of system detection error, but only theoretical analysis is done, and the final expression is not given. At the same time, the threshold value and signal-to-noise value of a single link are not given. Relative expression of ratio
In another document "Optimization for cooperative sensing in cognitive radio networks" (Optimization for cooperative sensing in cognitive radio networks; E.Peh and Ying-Chang Liang; in Proc.IEEE Int.Wireless Communication.Networking Conf., Hong Kong , May 11-15, 2007: 27-32) gave the optimal number of users participating in cooperative detection, but the threshold value is assumed to be fixed, which has certain limitations

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
  • Cooperative Spectrum Sensing Method
  • Cooperative Spectrum Sensing Method
  • Cooperative Spectrum Sensing Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In view of the existing cooperative spectrum sensing technology based on energy detection, the detection probability, false alarm probability and missing alarm probability are obtained based on a fixed threshold, which tends to lead to a low detection probability and a high detection error probability of the cognitive radio system. The central limit theorem is used to simplify the dynamic threshold, which cannot make the problem universal.

[0022] Therefore, the inventors of the present invention have improved the prior art, including: obtaining the detection error probability of a single link based on the energy detection method; obtaining the threshold value and the signal-to-noise ratio based on the detection error probability of a single link being the minimum relationship, so as to determine the optimal threshold value under different signal-to-noise ratios; based on the detection probability, false alarm probability and missed alarm probability of a single link, t...

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 present invention provides a cooperative spectrum sensing method applied in a cognitive radio system, comprising: configuring a cognitive radio system including N secondary users and at least one information fusion center in a network of existing primary users; The method is to obtain the detection error probability of a single link, wherein the detection error probability of the single link is related to the detection probability, false alarm probability and missing alarm probability; the threshold value is obtained when the detection error probability of a single link is the minimum The relationship between the signal-to-noise ratio and the signal-to-noise ratio, so as to determine the optimal threshold value under different signal-to-noise ratios; based on the detection probability, false alarm probability and missing alarm probability of a single link, the detection probability and false alarm probability of the cognitive radio system are obtained. And the probability of missing alarm and the probability of detection error. Compared with the prior art, the invention can greatly improve the detection probability and reduce the detection error probability of the cognitive radio system, so as to ensure that primary users are not disturbed during data transmission.

Description

technical field [0001] The present invention relates to a cognitive radio technology, in particular to a cooperative spectrum sensing method applied in a cognitive radio system. Background technique [0002] With the development of wireless communication systems, the demand for higher data rates is gradually increasing. On the one hand, due to the limitation of natural spectrum resources, the fixed frequency allocation scheme will not be able to meet the increasing demand for higher data rate equipment. On the other hand, the spectrum utilization ratio of different frequency bands varies greatly. A survey was carried out, which showed that the frequency band above 3GHz is hardly used, while the frequency band below 3GHz has a usage rate of up to 70%. In order to improve spectrum utilization and solve the problem of spectrum shortage, secondary users can be allowed to use the spectrum that primary users do not use at this moment in a certain period of time in a certain area....

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 Patents(China)
IPC IPC(8): H04B17/336H04B17/382
Inventor 谢怀忠易辉跃王瑞胡宏林
Owner SHANGHAI RES CENT FOR WIRELESS COMM
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