Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio

Chaeriah Bin Ali Wael; Nasrullah Armi; Budiman P.A. Rohman; Tajul Miftahushudur

doi:10.1109/ICRAMET.2016.7849603

Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio

Chaeriah Bin Ali Wael
, Nasrullah Armi
, Budiman P.A. Rohman
, Tajul Miftahushudur

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

11 Scopus citations

Abstract

Spectrum sensing is a key function of cognitive radio (CR) to identify the vacant frequency bands (which is also referred to as spectrum holes). The future technology of CR networks should be capable to scan wideband frequencies to increase spectrum utilization. To reduce high sampling rate for sampling wideband signal, Modulated Wideband Converter (MWC) is used for data acquisition. In this paper, MWC is also used to detect vacant spectrum of wideband signal modeled as multiband signal. Performance of the system is evaluated through simulation using Monte Carlo method. Performance metrics such as probability of detection (P_d), probability of false alarm (P_f) are examined in various SNR with sparsity level is 6/195 and 10/195. Numerical results show that spectrum sensing with sub-Nyquist sampling using MWC gives good detection performance. Other then SNR value, Sparsity level of the signal also have contribution signal detection performance. Perfect recovered support is achieved at SNR = 1 dB for the case with sparsity level = 6/195. When sparsity level = 10/195, P_d = 1 is never achieved.

Original language	English
Title of host publication	Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016
Editors	Prasetyo Putranto, Yusuf Nur Wijayanto
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	152-156
Number of pages	5
ISBN (Electronic)	9781509061006
DOIs	https://doi.org/10.1109/ICRAMET.2016.7849603
State	Published - 9 Feb 2017
Externally published	Yes

Publication series

Name	Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Cognitive Radio
Modulated Wideband Converter
Sub-Nyquist Sampling
Wideband Spectrum Sensing
sparsity level

ASJC Scopus subject areas

Electrical and Electronic Engineering
Instrumentation
Radiation
Computer Networks and Communications

Access to Document

10.1109/ICRAMET.2016.7849603

Cite this

Wael, C. B. A., Armi, N., Rohman, B. P. A., & Miftahushudur, T. (2017). Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio. In P. Putranto, & Y. N. Wijayanto (Eds.), Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016 (pp. 152-156). Article 7849603 (Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRAMET.2016.7849603

Wael, Chaeriah Bin Ali ; Armi, Nasrullah ; Rohman, Budiman P.A. et al. / Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio. Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016. editor / Prasetyo Putranto ; Yusuf Nur Wijayanto. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 152-156 (Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016).

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title = "Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio",

abstract = "Spectrum sensing is a key function of cognitive radio (CR) to identify the vacant frequency bands (which is also referred to as spectrum holes). The future technology of CR networks should be capable to scan wideband frequencies to increase spectrum utilization. To reduce high sampling rate for sampling wideband signal, Modulated Wideband Converter (MWC) is used for data acquisition. In this paper, MWC is also used to detect vacant spectrum of wideband signal modeled as multiband signal. Performance of the system is evaluated through simulation using Monte Carlo method. Performance metrics such as probability of detection (Pd), probability of false alarm (Pf) are examined in various SNR with sparsity level is 6/195 and 10/195. Numerical results show that spectrum sensing with sub-Nyquist sampling using MWC gives good detection performance. Other then SNR value, Sparsity level of the signal also have contribution signal detection performance. Perfect recovered support is achieved at SNR = 1 dB for the case with sparsity level = 6/195. When sparsity level = 10/195, Pd = 1 is never achieved.",

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author = "Wael, \{Chaeriah Bin Ali\} and Nasrullah Armi and Rohman, \{Budiman P.A.\} and Tajul Miftahushudur",

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Wael, CBA, Armi, N, Rohman, BPA & Miftahushudur, T 2017, Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio. in P Putranto & YN Wijayanto (eds), Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016., 7849603, Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016, Institute of Electrical and Electronics Engineers Inc., pp. 152-156. https://doi.org/10.1109/ICRAMET.2016.7849603

Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio. / Wael, Chaeriah Bin Ali; Armi, Nasrullah; Rohman, Budiman P.A. et al.
Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016. ed. / Prasetyo Putranto; Yusuf Nur Wijayanto. Institute of Electrical and Electronics Engineers Inc., 2017. p. 152-156 7849603 (Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016).

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

TY - GEN

T1 - Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio

AU - Wael, Chaeriah Bin Ali

AU - Armi, Nasrullah

AU - Rohman, Budiman P.A.

AU - Miftahushudur, Tajul

PY - 2017/2/9

Y1 - 2017/2/9

N2 - Spectrum sensing is a key function of cognitive radio (CR) to identify the vacant frequency bands (which is also referred to as spectrum holes). The future technology of CR networks should be capable to scan wideband frequencies to increase spectrum utilization. To reduce high sampling rate for sampling wideband signal, Modulated Wideband Converter (MWC) is used for data acquisition. In this paper, MWC is also used to detect vacant spectrum of wideband signal modeled as multiband signal. Performance of the system is evaluated through simulation using Monte Carlo method. Performance metrics such as probability of detection (Pd), probability of false alarm (Pf) are examined in various SNR with sparsity level is 6/195 and 10/195. Numerical results show that spectrum sensing with sub-Nyquist sampling using MWC gives good detection performance. Other then SNR value, Sparsity level of the signal also have contribution signal detection performance. Perfect recovered support is achieved at SNR = 1 dB for the case with sparsity level = 6/195. When sparsity level = 10/195, Pd = 1 is never achieved.

AB - Spectrum sensing is a key function of cognitive radio (CR) to identify the vacant frequency bands (which is also referred to as spectrum holes). The future technology of CR networks should be capable to scan wideband frequencies to increase spectrum utilization. To reduce high sampling rate for sampling wideband signal, Modulated Wideband Converter (MWC) is used for data acquisition. In this paper, MWC is also used to detect vacant spectrum of wideband signal modeled as multiband signal. Performance of the system is evaluated through simulation using Monte Carlo method. Performance metrics such as probability of detection (Pd), probability of false alarm (Pf) are examined in various SNR with sparsity level is 6/195 and 10/195. Numerical results show that spectrum sensing with sub-Nyquist sampling using MWC gives good detection performance. Other then SNR value, Sparsity level of the signal also have contribution signal detection performance. Perfect recovered support is achieved at SNR = 1 dB for the case with sparsity level = 6/195. When sparsity level = 10/195, Pd = 1 is never achieved.

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KW - sparsity level

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SP - 152

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BT - Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016

A2 - Putranto, Prasetyo

A2 - Wijayanto, Yusuf Nur

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Wael CBA, Armi N, Rohman BPA, Miftahushudur T. Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio. In Putranto P, Wijayanto YN, editors, Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 152-156. 7849603. (Proceeding - 2016 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2016). doi: 10.1109/ICRAMET.2016.7849603

Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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