Spectrum sensing based interference estimation in cognitive radio networks

Wei Chen; Jun Wang; Shaoqian Li

Spectrum sensing based interference estimation in cognitive radio networks

Wei Chen^*
, Jun Wang
, Shaoqian Li

^*Corresponding author for this work

University of Electronic Science and Technology of China

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

1 Scopus citations

Abstract

Cognitive radio (CR) is proposed as a promising solution to resolve the spectrum resource scarcity. The premise to implement CR is not to introduce harmful interference to the licensed users (LV). This constraint makes interference estimation becoming very important. In this paper, we perform a quantitative analysis of the aggregation interference at the LV's receiver. We develop two multi-cell models for interference estimation based on spectrum sensing. A comprehensive analysis about the distribution of the aggregation interference is given by taking account of the architecture of multi-cells, sensing sensitivity, the distribution of the cognitive radios, and the underlying propagation environment. Numerical results validate the analysis.

Original language	English
Title of host publication	2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009
Pages	231-235
Number of pages	5
State	Published - 2009
Externally published	Yes
Event	2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009 - Milpitas, CA, United States Duration: 23 Jul 2009 → 25 Jul 2009

Publication series

Name	2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009

Conference

Conference	2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009
Country/Territory	United States
City	Milpitas, CA
Period	23/07/09 → 25/07/09

Cite this

@inproceedings{36ff3e18da604679ab975fc3a96daa25,

title = "Spectrum sensing based interference estimation in cognitive radio networks",

abstract = "Cognitive radio (CR) is proposed as a promising solution to resolve the spectrum resource scarcity. The premise to implement CR is not to introduce harmful interference to the licensed users (LV). This constraint makes interference estimation becoming very important. In this paper, we perform a quantitative analysis of the aggregation interference at the LV's receiver. We develop two multi-cell models for interference estimation based on spectrum sensing. A comprehensive analysis about the distribution of the aggregation interference is given by taking account of the architecture of multi-cells, sensing sensitivity, the distribution of the cognitive radios, and the underlying propagation environment. Numerical results validate the analysis.",

author = "Wei Chen and Jun Wang and Shaoqian Li",

year = "2009",

language = "英语",

isbn = "9781424448883",

series = "2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009",

pages = "231--235",

booktitle = "2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009",

note = "2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009 ; Conference date: 23-07-2009 Through 25-07-2009",

}

Chen, W, Wang, J & Li, S 2009, Spectrum sensing based interference estimation in cognitive radio networks. in 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009., 5250542, 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009, pp. 231-235, 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009, Milpitas, CA, United States, 23/07/09.

Spectrum sensing based interference estimation in cognitive radio networks. / Chen, Wei; Wang, Jun; Li, Shaoqian.
2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009. 2009. p. 231-235 5250542 (2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009).

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

TY - GEN

T1 - Spectrum sensing based interference estimation in cognitive radio networks

AU - Chen, Wei

AU - Wang, Jun

AU - Li, Shaoqian

PY - 2009

Y1 - 2009

N2 - Cognitive radio (CR) is proposed as a promising solution to resolve the spectrum resource scarcity. The premise to implement CR is not to introduce harmful interference to the licensed users (LV). This constraint makes interference estimation becoming very important. In this paper, we perform a quantitative analysis of the aggregation interference at the LV's receiver. We develop two multi-cell models for interference estimation based on spectrum sensing. A comprehensive analysis about the distribution of the aggregation interference is given by taking account of the architecture of multi-cells, sensing sensitivity, the distribution of the cognitive radios, and the underlying propagation environment. Numerical results validate the analysis.

AB - Cognitive radio (CR) is proposed as a promising solution to resolve the spectrum resource scarcity. The premise to implement CR is not to introduce harmful interference to the licensed users (LV). This constraint makes interference estimation becoming very important. In this paper, we perform a quantitative analysis of the aggregation interference at the LV's receiver. We develop two multi-cell models for interference estimation based on spectrum sensing. A comprehensive analysis about the distribution of the aggregation interference is given by taking account of the architecture of multi-cells, sensing sensitivity, the distribution of the cognitive radios, and the underlying propagation environment. Numerical results validate the analysis.

UR - https://www.scopus.com/pages/publications/72749110962

M3 - 会议稿件

AN - SCOPUS:72749110962

SN - 9781424448883

T3 - 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009

SP - 231

EP - 235

BT - 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009

T2 - 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009

Y2 - 23 July 2009 through 25 July 2009

ER -

Spectrum sensing based interference estimation in cognitive radio networks

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