Data fusion schemes for cooperative spectrum sensing in cognitive radio networks

D. Teguig; B. Scheers; V. Le Nir

Data fusion schemes for cooperative spectrum sensing in cognitive radio networks

Radio Networks

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

Abstract

Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radio network (CRN) by combining sensing information of multiple cognitive radio users. In this paper, we study different fusion schemes that can be implemented in fusion center. Simulation comparison between these schemes based on hard, quantized and soft fusion rules are conducted. It is shown through computer simulation that the soft combination scheme outperforms the hard one at the cost of more complexity; the quantized combination scheme provides a good tradeoff between detection performance and complexity. In the paper, we also analyze a quantized combination scheme based on a tree-bit quantization and compare its performance with some hard and soft combination schemes.

Original language	English
Title of host publication	2012 Military Communications and Information Systems Conference, MCC 2012
Pages	104-110
Number of pages	7
Publication status	Published - 2012
Event	2012 Military Communications and Information Systems Conference, MCC 2012 - Gdansk, Poland Duration: 8 Oct 2012 → 9 Oct 2012

Publication series

Name	2012 Military Communications and Information Systems Conference, MCC 2012

Conference

Conference	2012 Military Communications and Information Systems Conference, MCC 2012
Country/Territory	Poland
City	Gdansk
Period	8/10/12 → 9/10/12

Keywords

Cooperative spectrum sensing
cognitive radio (CR)
data fusion
quantized and hard fusion rules
soft

Cite this

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title = "Data fusion schemes for cooperative spectrum sensing in cognitive radio networks",

abstract = "Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radio network (CRN) by combining sensing information of multiple cognitive radio users. In this paper, we study different fusion schemes that can be implemented in fusion center. Simulation comparison between these schemes based on hard, quantized and soft fusion rules are conducted. It is shown through computer simulation that the soft combination scheme outperforms the hard one at the cost of more complexity; the quantized combination scheme provides a good tradeoff between detection performance and complexity. In the paper, we also analyze a quantized combination scheme based on a tree-bit quantization and compare its performance with some hard and soft combination schemes.",

keywords = "Cooperative spectrum sensing, cognitive radio (CR), data fusion, quantized and hard fusion rules, soft",

author = "D. Teguig and B. Scheers and {Le Nir}, V.",

year = "2012",

language = "English",

isbn = "9788392012092",

series = "2012 Military Communications and Information Systems Conference, MCC 2012",

pages = "104--110",

booktitle = "2012 Military Communications and Information Systems Conference, MCC 2012",

note = "2012 Military Communications and Information Systems Conference, MCC 2012 ; Conference date: 08-10-2012 Through 09-10-2012",

}

Teguig, D, Scheers, B & Le Nir, V 2012, Data fusion schemes for cooperative spectrum sensing in cognitive radio networks. in 2012 Military Communications and Information Systems Conference, MCC 2012., 6387899, 2012 Military Communications and Information Systems Conference, MCC 2012, pp. 104-110, 2012 Military Communications and Information Systems Conference, MCC 2012, Gdansk, Poland, 8/10/12.

Data fusion schemes for cooperative spectrum sensing in cognitive radio networks. / Teguig, D.; Scheers, B.; Le Nir, V.
2012 Military Communications and Information Systems Conference, MCC 2012. 2012. p. 104-110 6387899 (2012 Military Communications and Information Systems Conference, MCC 2012).

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

TY - GEN

T1 - Data fusion schemes for cooperative spectrum sensing in cognitive radio networks

AU - Teguig, D.

AU - Scheers, B.

AU - Le Nir, V.

PY - 2012

Y1 - 2012

N2 - Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radio network (CRN) by combining sensing information of multiple cognitive radio users. In this paper, we study different fusion schemes that can be implemented in fusion center. Simulation comparison between these schemes based on hard, quantized and soft fusion rules are conducted. It is shown through computer simulation that the soft combination scheme outperforms the hard one at the cost of more complexity; the quantized combination scheme provides a good tradeoff between detection performance and complexity. In the paper, we also analyze a quantized combination scheme based on a tree-bit quantization and compare its performance with some hard and soft combination schemes.

AB - Cooperative spectrum sensing has proven its efficiency to detect spectrum holes in cognitive radio network (CRN) by combining sensing information of multiple cognitive radio users. In this paper, we study different fusion schemes that can be implemented in fusion center. Simulation comparison between these schemes based on hard, quantized and soft fusion rules are conducted. It is shown through computer simulation that the soft combination scheme outperforms the hard one at the cost of more complexity; the quantized combination scheme provides a good tradeoff between detection performance and complexity. In the paper, we also analyze a quantized combination scheme based on a tree-bit quantization and compare its performance with some hard and soft combination schemes.

KW - Cooperative spectrum sensing

KW - cognitive radio (CR)

KW - data fusion

KW - quantized and hard fusion rules

KW - soft

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M3 - Conference contribution

AN - SCOPUS:84872373055

SN - 9788392012092

T3 - 2012 Military Communications and Information Systems Conference, MCC 2012

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BT - 2012 Military Communications and Information Systems Conference, MCC 2012

T2 - 2012 Military Communications and Information Systems Conference, MCC 2012

Y2 - 8 October 2012 through 9 October 2012

ER -

Data fusion schemes for cooperative spectrum sensing in cognitive radio networks

Abstract

Publication series

Conference

Keywords

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