Signal detection for spectrum sensing with uncertain arrivals of traffics

Wen Long Chin; Yin Je Hwang; Ya Xuan Lin

doi:10.1109/FSKD.2015.7382291

Signal detection for spectrum sensing with uncertain arrivals of traffics

Wen Long Chin, Yin Je Hwang, Ya Xuan Lin

Department of Engineering Science

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

Abstract

Due to random arrivals of primary user signals, their timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR based femtocell networks. To deal with this issue in the literature, two approaches were recommended, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, Bayesian test requires the perfect knowledge of the distribution of unknown parameters. Therefore, it is considered to be impractical due to its implementation complexity. To design a low complexity energy detector (ED), this work proposes an ED scheme based on GLRT algorithm. As a result, maximum-likelihood (ML) estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low complexity and satisfactory performance.

Original language	English
Title of host publication	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Editors	Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2185-2189
Number of pages	5
ISBN (Electronic)	9781467376822
DOIs	https://doi.org/10.1109/FSKD.2015.7382291
Publication status	Published - 2016 Jan 13
Event	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China Duration: 2015 Aug 15 → 2015 Aug 17

Publication series

Name	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Other

Other	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country	China
City	Zhangjiajie
Period	15-08-15 → 15-08-17

All Science Journal Classification (ASJC) codes

Discrete Mathematics and Combinatorics
Modelling and Simulation
Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/FSKD.2015.7382291

Fingerprint Dive into the research topics of 'Signal detection for spectrum sensing with uncertain arrivals of traffics'. Together they form a unique fingerprint.

Cite this

Chin, W. L., Hwang, Y. J., & Lin, Y. X. (2016). Signal detection for spectrum sensing with uncertain arrivals of traffics. In Z. Tang, J. Du, S. Yin, R. Li, & L. He (Eds.), 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 (pp. 2185-2189). [7382291] (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FSKD.2015.7382291

Chin, Wen Long ; Hwang, Yin Je ; Lin, Ya Xuan. / Signal detection for spectrum sensing with uncertain arrivals of traffics. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. editor / Zhuo Tang ; Jiayi Du ; Shu Yin ; Renfa Li ; Ligang He. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2185-2189 (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015).

@inproceedings{ad794dc772f54970b0916f0050d0adc4,

title = "Signal detection for spectrum sensing with uncertain arrivals of traffics",

abstract = "Due to random arrivals of primary user signals, their timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR based femtocell networks. To deal with this issue in the literature, two approaches were recommended, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, Bayesian test requires the perfect knowledge of the distribution of unknown parameters. Therefore, it is considered to be impractical due to its implementation complexity. To design a low complexity energy detector (ED), this work proposes an ED scheme based on GLRT algorithm. As a result, maximum-likelihood (ML) estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low complexity and satisfactory performance.",

author = "Chin, {Wen Long} and Hwang, {Yin Je} and Lin, {Ya Xuan}",

year = "2016",

month = jan,

day = "13",

doi = "10.1109/FSKD.2015.7382291",

language = "English",

series = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2185--2189",

editor = "Zhuo Tang and Jiayi Du and Shu Yin and Renfa Li and Ligang He",

booktitle = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",

address = "United States",

note = "12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 ; Conference date: 15-08-2015 Through 17-08-2015",

}

Chin, WL, Hwang, YJ & Lin, YX 2016, Signal detection for spectrum sensing with uncertain arrivals of traffics. in Z Tang, J Du, S Yin, R Li & L He (eds), 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015., 7382291, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, Institute of Electrical and Electronics Engineers Inc., pp. 2185-2189, 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, Zhangjiajie, China, 15-08-15. https://doi.org/10.1109/FSKD.2015.7382291

Signal detection for spectrum sensing with uncertain arrivals of traffics. / Chin, Wen Long; Hwang, Yin Je; Lin, Ya Xuan.

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. ed. / Zhuo Tang; Jiayi Du; Shu Yin; Renfa Li; Ligang He. Institute of Electrical and Electronics Engineers Inc., 2016. p. 2185-2189 7382291 (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015).

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

TY - GEN

T1 - Signal detection for spectrum sensing with uncertain arrivals of traffics

AU - Chin, Wen Long

AU - Hwang, Yin Je

AU - Lin, Ya Xuan

PY - 2016/1/13

Y1 - 2016/1/13

N2 - Due to random arrivals of primary user signals, their timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR based femtocell networks. To deal with this issue in the literature, two approaches were recommended, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, Bayesian test requires the perfect knowledge of the distribution of unknown parameters. Therefore, it is considered to be impractical due to its implementation complexity. To design a low complexity energy detector (ED), this work proposes an ED scheme based on GLRT algorithm. As a result, maximum-likelihood (ML) estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low complexity and satisfactory performance.

AB - Due to random arrivals of primary user signals, their timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR based femtocell networks. To deal with this issue in the literature, two approaches were recommended, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, Bayesian test requires the perfect knowledge of the distribution of unknown parameters. Therefore, it is considered to be impractical due to its implementation complexity. To design a low complexity energy detector (ED), this work proposes an ED scheme based on GLRT algorithm. As a result, maximum-likelihood (ML) estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low complexity and satisfactory performance.

UR - http://www.scopus.com/inward/record.url?scp=84966692210&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84966692210&partnerID=8YFLogxK

U2 - 10.1109/FSKD.2015.7382291

DO - 10.1109/FSKD.2015.7382291

M3 - Conference contribution

AN - SCOPUS:84966692210

T3 - 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

SP - 2185

EP - 2189

BT - 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

A2 - Tang, Zhuo

A2 - Du, Jiayi

A2 - Yin, Shu

A2 - Li, Renfa

A2 - He, Ligang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Y2 - 15 August 2015 through 17 August 2015

ER -

Chin WL, Hwang YJ, Lin YX. Signal detection for spectrum sensing with uncertain arrivals of traffics. In Tang Z, Du J, Yin S, Li R, He L, editors, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2185-2189. 7382291. (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015). https://doi.org/10.1109/FSKD.2015.7382291