Clustering method for cognitive radio user based on the results of spectrum sensing

被引：0

作者：

Sun, Jian-Feng ^{[1
]}

Gao, Jin-Chun ^{[1
]}

Liu, Yuan-An ^{[1
]}

Xie, Gang ^{[1
]}

机构：

[1] Key Lab. of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2012年 / 34卷 / 04期

关键词：

Cluster; Cognitive radio; Correlation; Spectrum sensing;

D O I：

10.3724/SP.J.1146.2011.00301

中图分类号：

学科分类号：

摘要：

User clustering is one of the most important problems because of the difference of the frequency spectrum utilization situation from cognitive users. This paper gives the analysis result of correlation between cognitive radio users and also proposes the clustering algorithm based on this analysis. Considering the real situation, the effects of data quantization are derived and the derivation shows the performance loss could be compensated partly through the increase the number of spectrum bands. Finally, the simulation shows the proposal could perform well whether the data quantization is adopted or not. From the aspect of reliability, accuracy and adaptability, the proposed algorithm, which gives a comprehensive consideration of the spectrum environment and other factors, is more practical than the traditional clustering algorithm based on the geographic location.

引用

页码：782 / 786

页数：4

共 13 条

[1]

Report of the spectrum efficiency working group, (2010)

[2]

Mitola J., Maquire G.J., Cognitive radios: Making software radios more personal, IEEE Personal Communications, 6, 4, pp. 13-18, (1999)

[3]

Jia J.-C., Zhang J., Zhang Q., Cooperative relay for cognitive radio networks, IEEE International Conference on Computer Communications 2009, pp. 2304-2312, (2009)

[4]

Krenik W., Batra A., Cognitive radio techniques for wide area networks, 42nd Design Automation Conference, pp. 409-412, (2005)

[5]

Guo C., Peng T., Xu S.-Y., Et al., Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks, IEEE Vehicular Technology Conference, pp. 1-5, (2009)

[6]

Bai Z.-Q., Wang L., Zhang H.-X., Et al., Cluster-based cooperative spectrum sensing for cognitive radio under bandwidth constraints, 12th IEEE International Conference on Communication Systems 2010, pp. 569-573, (2010)

[7]

Afkhami G.S., Hamed Y., AliAn M., Efficient distributed cluster-head election technique for load balancing in wireless sensor networks, 2010 6th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 227-232, (2010)

[8]

Guo L.-J., Chen F.-X., Dai Z.-C., Et al., WSN cluster head selection algorithm based on neural network, 2010 International Conference on Machine Vision and Human-Machine Interface, pp. 258-260, (2010)

[9]

Hesham A., Yang S.-H., Dynamic cluster head for lifetime efficiency in WSN, International Journal of Automation and Computing, 6, 1, pp. 48-54, (2009)

[10]

Liu Y.-H., Gao J.-J., Zhu L.-Q., Et al., A clustering algorithm based on communication facility with deterministic cluster-size in WSN, 2009 International Conference on Communication Software and Networks, pp. 571-574, (2009)

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