Clustering cooperative spectrum sensing method for cognitive radio network

A collaborative spectrum sensing and cognitive radio technology, applied in the field of cognitive radio, can solve problems such as uneven distribution of network energy consumption and system paralysis

Inactive Publication Date: 2015-12-02
KUNMING UNIV OF SCI & TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The present invention provides a cognitive radio network clustering cooperative spectrum sensing method, which is used to solve the problem of system paralysis caused by unbalanced distribution of network energy consumption in the traditional clustering cooperative spectrum sensing method

Method used

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  • Clustering cooperative spectrum sensing method for cognitive radio network
  • Clustering cooperative spectrum sensing method for cognitive radio network
  • Clustering cooperative spectrum sensing method for cognitive radio network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Embodiment 1: as Figure 1-6 As shown, a cognitive radio network clustering cooperative spectrum sensing method, the specific steps of the cognitive radio network clustering cooperative spectrum sensing method are as follows:

[0042] Step1. Divide all sensing users in the sensing network into several clusters, and select the cluster head of each cluster;

[0043] Step2. First, perform energy detection on the sensing users assigned to each cluster in the CR system to sense the local spectrum occupancy. At the same time, the cluster head sends the energy detection information reported by the sensing users in the cluster to the cluster head using the data fusion method. The first data fusion processing;

[0044] Step3. After the cluster head data is fused, the cluster heads send their respective fusion decision results to the fusion center, where the first data fusion process is performed;

[0045] Step4. Estimate the SNR of each cluster head received by the fusion cent...

Embodiment 2

[0048] Embodiment 2: as Figure 1-6 As shown, a cognitive radio network clustering cooperative spectrum sensing method, the specific steps of the cognitive radio network clustering cooperative spectrum sensing method are as follows:

[0049] Step1. Divide all sensing users in the sensing network into several clusters, and select the cluster head of each cluster;

[0050] Step2. First, perform energy detection on the sensing users assigned to each cluster in the CR system to sense the local spectrum occupancy. At the same time, the cluster head sends the energy detection information reported by the sensing users in the cluster to the cluster head using the data fusion method. The first data fusion processing;

[0051] Step3. After the cluster head data is fused, the cluster heads send their respective fusion decision results to the fusion center, where the first data fusion process is performed;

[0052] Step4. Estimate the SNR of each cluster head received by the fusion cent...

Embodiment 3

[0056] Embodiment 3: as Figure 1-6 As shown, a cognitive radio network clustering cooperative spectrum sensing method, the specific steps of the cognitive radio network clustering cooperative spectrum sensing method are as follows:

[0057] Step1. Divide all sensing users in the sensing network into several clusters, and select the cluster head of each cluster;

[0058] Step2. First, perform energy detection on the sensing users assigned to each cluster in the CR system to sense the local spectrum occupancy. At the same time, the cluster head sends the energy detection information reported by the sensing users in the cluster to the cluster head using the data fusion method. The first data fusion processing;

[0059] Step3. After the cluster head data is fused, the cluster heads send their respective fusion decision results to the fusion center, where the first data fusion process is performed;

[0060] Step4. Estimate the SNR of each cluster head received by the fusion cent...

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Abstract

The invention relates to a clustering cooperative spectrum sensing method for a cognitive radio network, belonging to the technical field of cognitive radio. The method comprises steps of firstly, dividing all sensing users in the cognitive network into a plurality of clusters, and selecting a cluster head of each cluster; then, the sensing users in each cluster sensing the spectrum occupation condition of the local through energy detection, and the cluster head sending the sensed energy detection information to the cluster head for data fusion processing; after data fusion, the cluster head sending a judgment result to a fusion center for data fusion; and finally, the fusion center estimating the signal to noise ratio of each cluster head, comparing the signal to noise ratio with an average value of the signal to noise ratio of all clusters, and finally sensing, according to a comparison result, whether a master user occupies the spectrum. Theoretically, the method can effectively lower the effect of path loss and attenuation on performance detection, the topological structure is easy to manage, and the method is applicable to a large scale cognitive radio network with complicated channel environment.

Description

technical field [0001] The invention relates to a cognitive radio network clustering cooperative spectrum sensing method, which belongs to the technical field of cognitive radio. Background technique [0002] As a key technology to realize dynamic intelligent spectrum allocation and spectrum resource sharing, cognitive radio technology (CR, CognitiveRadio) has received extensive attention and research from domestic and foreign experts and scholars in recent years. However, as the problem that spectrum resources are difficult to meet the growing consumer population is increasingly apparent, the efficient and reasonable allocation of spectrum resources has become one of the problems to be solved in the field of wireless communication technology development. However, a research report on spectrum utilization by FFC (Federal Communications Commission of the United States) shows that due to the existing static spectrum resource allocation mode, most of the licensed spectrum is no...

Claims

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Application Information

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IPC IPC(8): H04B17/382H04B17/309H04W24/00
Inventor 彭艺宋浩苏黎韡
Owner KUNMING UNIV OF SCI & TECH
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