A Prototype of TV White Space Spectrum Sensing and Power Measurement

Song, Chunyi; Matsumura, Toshiro; Harada, Hiroshi

doi:10.1587/transcom.e97.b.314

Cited by 6 publications

(8 citation statements)

References 21 publications

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“…Due to the performance limitation of energy detection in complex condition, the assumed average SNR is relatively high. The required SNR for target performance could be decreased by applying other advanced sensing technologies, for example, feature detection used in [16,17] can detect PU signal with low SNR of around -20 dB.…”

Section: Discussionmentioning

confidence: 99%

Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN

Zhou¹,

Song²,

Sum³

et al. 2014

EAI Endorsed Transactions on Cognitive Communications

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A two-hop wireless regional area network (WRAN) providing monitoring services operating in Television White Space (TVWS), i.e., IEEE P802.22b, may employ a great number of subscriber customer-premises equipments (S-CPEs) possibly without mains power supply, leading to requirement of cost-effective and power-saving design. This paper proposes a framework of cooperative spectrum sensing (CSS) and an energy/bandwidth saving CSS scheme to P802.22b. In each round of sensing, S-CPEs with SNRs lower than a predefined threshold are excluded from reporting sensing results. Numerical results show that the fused missed-detection probability and false alarm probability could remain meeting sensing requirements, and the overall fused error probability changes very little. With 10 S-CPEs, it is possible to save more than 40% of the energy/bandwidth on a Rayleigh channel. The principle proposed can apply to other advanced sensing technologies capable of detecting primary signals with low average SNR.

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Section: Discussionmentioning

confidence: 99%

Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN

Zhou¹,

Song²,

Sum³

et al. 2014

EAI Endorsed Transactions on Cognitive Communications

Self Cite

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“…This method is simple to be implemented. The described works in [5] and [6] are among the example of implementation of ED for spectrum sensing. Due to this low complexity, energy detection is the most preferable and popular method.…”

Section: Related Workmentioning

confidence: 99%

A Blind Spectrum Sensing for Cognitive Radio Based on Jarque-Bera Normality Test

Subekti¹,

Rachmana²,

Sugihartono³

et al. 2016

ijeei

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A cognitive radio is only able to set up communication using unused frequencies or vacant channels. Spectrum sensing is mandatory task for cognitive radio to detect the vacant channels. The detection faces some challenges due to the required performance and limited knowledge on the primary signals. A blind spectrum sensing which can work without the knowledge of the primary signal is preferable. In this paper we propose a blind spectrum sensing method for cognitive radio network. The proposed method based on the difference on distribution of the condition between when the transmission from primary user is active and when it's inactive. If it is inactive, the received signal will contain only noise which is Gaussian. It is different from the distribution of signal which is contaminated with noise. A normality test using the Jarque-Bera test statistic is used for the detection of the event. The target of the analysis is both the real and the imaginary parts of FFT's output. The proposed algorithm was tested to detect the DTV signal. Results show that our method is performed better than previous similar method.

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“…This method is simple to implement. The works reported in [10] and [11] are examples of ED implementation for spectrum sensing. Due to its low complexity, energy detection is the most preferable and popular method.…”

Section: Related Workmentioning

confidence: 99%

A HOS-Based Blind Spectrum Sensing in Noise Uncertainty

Subekti¹,

Sugihartono²,

Syambas³

et al. 2015

J. ICT. Res. Appl.

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Abstract. Spectrum sensing for cognitive radio is a challenging task since it has to be able to detect the primary signal at a low signal to noise ratio (SNR). At a low SNR, the variance of noise fluctuates due to noise uncertainty. Detection of the primary signal will be difficult especially for blind spectrum sensing methods that rely on the variance of noise for their threshold setting, such as energy detection. Instead of using the energy difference, we propose a spectrum sensing method based on the distribution difference. When the channel is occupied, the distribution of the received signal, which propagates under a wireless fading channel, will have a non-Gaussian distribution. This will be different from the Gaussian noise when the channel is vacant. Kurtosis, a higher order statistic (HOS) of the 4 th order, is used as normality test for the test statistic. We measured the detection rate of the proposed method by performing a simulation of the detection process. Our proposed method's performance proved superior in detecting a real digital TV signal in noise uncertainty.

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A Prototype of TV White Space Spectrum Sensing and Power Measurement

Cited by 6 publications

References 21 publications

Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN

Energy/bandwidth-Saving Cooperative Spectrum Sensing for Two-hopWRAN

A Blind Spectrum Sensing for Cognitive Radio Based on Jarque-Bera Normality Test

A HOS-Based Blind Spectrum Sensing in Noise Uncertainty

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