New half-voting cooperative sensing algorithms in cognitive radio

Haijun Wang; Yi Xu; Xin Su; Jie Zeng; Jing Wang

doi:10.1007/978-3-642-30493-4_24

New half-voting cooperative sensing algorithms in cognitive radio

Haijun Wang^*
, Yi Xu
, Xin Su
, Jie Zeng
, Jing Wang

^*Corresponding author for this work

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In cognitive radio (CR) networks, hard fusion is widely applied for cooperative energy spectrum sensing, since it requires only one bit to transmit the decision results between sensing nodes and the sensing station. And half-voting is an effective algorithm in hard fusion. In this paper, two half-voting algorithms are proposed to enhance the sensing performance. In the first half-voting algorithm, we adopt linear data fusion with weights based on the SNR of each sensing node. In another algorithm, when the sensing station has no knowledge of each sensing node's SNR, the history decisions are utilized to estimate the weight factors. Analyses and numerical results show that the proposed new half-voting algorithms can significantly improve the sensing performance.

Original language	English
Title of host publication	Wireless Internet - 6th International ICST Conference, WICON 2011, Revised Selected Papers
Pages	234-242
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-30493-4_24
Publication status	Published - 2012
Externally published	Yes
Event	6th International ICST Conference on Wireless Internet, WICON 2011 - Xi'an, China Duration: 19 Oct 2011 → 21 Oct 2011

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume	98 LNICST
ISSN (Print)	1867-8211

Conference

Conference	6th International ICST Conference on Wireless Internet, WICON 2011
Country/Territory	China
City	Xi'an
Period	19/10/11 → 21/10/11

Keywords

cognitive radio
energy spectrum sensing
half-voting
hard fusion
linear data fusion

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10.1007/978-3-642-30493-4_24

Cite this

Wang, H., Xu, Y., Su, X., Zeng, J., & Wang, J. (2012). New half-voting cooperative sensing algorithms in cognitive radio. In Wireless Internet - 6th International ICST Conference, WICON 2011, Revised Selected Papers (pp. 234-242). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 98 LNICST). https://doi.org/10.1007/978-3-642-30493-4_24

@inproceedings{ebead03299f047a581cb171e71fd9bb5,

title = "New half-voting cooperative sensing algorithms in cognitive radio",

abstract = "In cognitive radio (CR) networks, hard fusion is widely applied for cooperative energy spectrum sensing, since it requires only one bit to transmit the decision results between sensing nodes and the sensing station. And half-voting is an effective algorithm in hard fusion. In this paper, two half-voting algorithms are proposed to enhance the sensing performance. In the first half-voting algorithm, we adopt linear data fusion with weights based on the SNR of each sensing node. In another algorithm, when the sensing station has no knowledge of each sensing node's SNR, the history decisions are utilized to estimate the weight factors. Analyses and numerical results show that the proposed new half-voting algorithms can significantly improve the sensing performance.",

keywords = "cognitive radio, energy spectrum sensing, half-voting, hard fusion, linear data fusion",

author = "Haijun Wang and Yi Xu and Xin Su and Jie Zeng and Jing Wang",

year = "2012",

doi = "10.1007/978-3-642-30493-4\_24",

language = "English",

isbn = "9783642304927",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",

pages = "234--242",

booktitle = "Wireless Internet - 6th International ICST Conference, WICON 2011, Revised Selected Papers",

note = "6th International ICST Conference on Wireless Internet, WICON 2011 ; Conference date: 19-10-2011 Through 21-10-2011",

}

Wang, H, Xu, Y, Su, X, Zeng, J & Wang, J 2012, New half-voting cooperative sensing algorithms in cognitive radio. in Wireless Internet - 6th International ICST Conference, WICON 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 98 LNICST, pp. 234-242, 6th International ICST Conference on Wireless Internet, WICON 2011, Xi'an, China, 19/10/11. https://doi.org/10.1007/978-3-642-30493-4_24

New half-voting cooperative sensing algorithms in cognitive radio. / Wang, Haijun; Xu, Yi; Su, Xin et al.
Wireless Internet - 6th International ICST Conference, WICON 2011, Revised Selected Papers. 2012. p. 234-242 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 98 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - New half-voting cooperative sensing algorithms in cognitive radio

AU - Wang, Haijun

AU - Xu, Yi

AU - Su, Xin

AU - Zeng, Jie

AU - Wang, Jing

PY - 2012

Y1 - 2012

N2 - In cognitive radio (CR) networks, hard fusion is widely applied for cooperative energy spectrum sensing, since it requires only one bit to transmit the decision results between sensing nodes and the sensing station. And half-voting is an effective algorithm in hard fusion. In this paper, two half-voting algorithms are proposed to enhance the sensing performance. In the first half-voting algorithm, we adopt linear data fusion with weights based on the SNR of each sensing node. In another algorithm, when the sensing station has no knowledge of each sensing node's SNR, the history decisions are utilized to estimate the weight factors. Analyses and numerical results show that the proposed new half-voting algorithms can significantly improve the sensing performance.

AB - In cognitive radio (CR) networks, hard fusion is widely applied for cooperative energy spectrum sensing, since it requires only one bit to transmit the decision results between sensing nodes and the sensing station. And half-voting is an effective algorithm in hard fusion. In this paper, two half-voting algorithms are proposed to enhance the sensing performance. In the first half-voting algorithm, we adopt linear data fusion with weights based on the SNR of each sensing node. In another algorithm, when the sensing station has no knowledge of each sensing node's SNR, the history decisions are utilized to estimate the weight factors. Analyses and numerical results show that the proposed new half-voting algorithms can significantly improve the sensing performance.

KW - cognitive radio

KW - energy spectrum sensing

KW - half-voting

KW - hard fusion

KW - linear data fusion

UR - https://www.scopus.com/pages/publications/84869598646

U2 - 10.1007/978-3-642-30493-4_24

DO - 10.1007/978-3-642-30493-4_24

M3 - Conference contribution

AN - SCOPUS:84869598646

SN - 9783642304927

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

SP - 234

EP - 242

BT - Wireless Internet - 6th International ICST Conference, WICON 2011, Revised Selected Papers

T2 - 6th International ICST Conference on Wireless Internet, WICON 2011

Y2 - 19 October 2011 through 21 October 2011

ER -

New half-voting cooperative sensing algorithms in cognitive radio

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