Dynamic-Dual-Threshold Cooperative Spectrum Sensing Algorithm Based on D-S Evidence Theory

Deng Yin Zhang; Ai Qin Bao; Ming Xiang Wang

doi:10.4028/www.scientific.net/AMM.519-520.991

Paper Titles

Modulation Recognition of MQAM Signals Based on Semi Supervised Clustering Theory
p.975

The Optimized Scheme of CDR Collecting and Abnormity Monitoring
p.979

Shorten LDPC Codes with Better Performance
p.983

Peak-to-Average Power Ratio Distribution of OFDM Visible Light Communication Systems
p.987

Dynamic-Dual-Threshold Cooperative Spectrum Sensing Algorithm Based on D-S Evidence Theory
p.991

FPGA-Based Improved Decoding Algorithm of LDPC Codes
p.995

An Improved Parameter Estimation Algorithm Based on FFT for LFM Signal
p.1000

Payload-Distributed GEO Communication Satellite System and Opportunistic Network Coding Based Cooperative Information Exchange
p.1005

FrFT Angle Division Multiple Access with Optimal Time-Frequency-Angle Resource Distribution
p.1012

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520Dynamic-Dual-Threshold Cooperative Spectrum...

Dynamic-Dual-Threshold Cooperative Spectrum Sensing Algorithm Based on D-S Evidence Theory

Abstract:

To further improve the performance of traditional dual-threshold cooperative spectrum sensing, the article proposed a dynamic-dual-threshold cooperative spectrum sensing algorithm based on D-S evidence theory (DDDS). The article is applied the D-S evidence theory in dual-threshold sensing algorithm and set threshold value depending on the channel gain. If the received signal is outside of dual-threshold, the cognitive user will send the judgment result to the base station; otherwise the cognitive user will calculate trust information based on D-S evidence theory, and then transmit them to the cognitive base station. Cognitive base station makes the final decision.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

991-994

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.991

Citation:

Cite this paper

Online since:

February 2014

Authors:

Deng Yin Zhang*, Ai Qin Bao, Ming Xiang Wang

Keywords:

Cooperative Spectrum Sensing (CSS), D-S Evidence Theory, Dynamic Dual-Threshold

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Haykin, Simon. Cognitive radio: brain-empowered wireless communications [J]. IEEE Journal on Selected Areas in Communications. 2005, 23(2): 201-220.

DOI: 10.1109/jsac.2004.839380

Google Scholar

[2] Sun Chunhua, Zhang Wei, Letaief K B. Cooprative spectrum sensing for cognitive radios under bandwidth constraints[C]. Wireless Communications and Networking Conference. (2007).

DOI: 10.1109/wcnc.2007.6

Google Scholar

[3] Nhan Nguyen, Insoo Koo. Evidence-Theory-Based Cooperative Spectrum Sensing With Efficient Quantization Method in Cognitive Radio[J]. IEEE Transactions on Vehicular Technology. 2011, 60(1): 185-195.

DOI: 10.1109/tvt.2010.2086501

Google Scholar

[4] Jing Li, Jian Liu, Keping Long, Reliable Cooperative Spectrum Sensing Algorithm based on Dempster-Shafer Theory[J]. 2010 IEEE Global Telecommunications Conference. 2010: 1-5.

DOI: 10.1109/glocom.2011.6134041

Google Scholar

[5] Ying Liu, Huizhu Ma. Reliable cooperative spectrum sensing based on double threshold detection and Dempster-Shafer theory [C]. 2012 IEEE 11th International Conference on Signal Processing. 2012: 1536-1540.

DOI: 10.1109/icosp.2012.6491866

Google Scholar

[6] Hua Xu, Longfei Fan, Hui Zheng. A precise SNR estimation algorithm for QPSK signals [J]. Journal of Communications. 2004, 2(25): 55-60.

Google Scholar