Limits...
SNR Wall Effect Alleviation by Generalized Detector Employed in Cognitive Radio Networks.

Shbat MS, Tuzlukov V - Sensors (Basel) (2015)

Bottom Line: The most commonly used spectrum sensing techniques in cognitive radio (CR) networks, such as the energy detector (ED), matched filter (MF), and others, suffer from the noise uncertainty and signal-to-noise ratio (SNR) wall phenomenon.These detectors cannot achieve the required signal detection performance regardless of the sensing time.The simulation results confirm our theoretical issues and effectiveness of GD implementation in CR networks based on antenna array.

View Article: PubMed Central - PubMed

Affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 702-701, Korea. modboss80@gmail.com.

ABSTRACT
The most commonly used spectrum sensing techniques in cognitive radio (CR) networks, such as the energy detector (ED), matched filter (MF), and others, suffer from the noise uncertainty and signal-to-noise ratio (SNR) wall phenomenon. These detectors cannot achieve the required signal detection performance regardless of the sensing time. In this paper, we explore a signal processing scheme, namely, the generalized detector (GD) constructed based on the generalized approach to signal processing (GASP) in noise, in spectrum sensing of CR network based on antenna array with the purpose to alleviate the SNR wall problem and improve the signal detection robustness under the low SNR. The simulation results confirm our theoretical issues and effectiveness of GD implementation in CR networks based on antenna array.

No MeSH data available.


Related in: MedlinePlus

The sample complexity curves of ED, MF, and GD under the noise power uncertainty.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4541870&req=5

sensors-15-16105-f005: The sample complexity curves of ED, MF, and GD under the noise power uncertainty.

Mentions: As we can see from Figure 5, in the ideal case, i.e., the complete compensation of the noise component of the GD correlation channeland the random component of the GD ED channel, the GD presents the best sample complexity performance in comparison with the ED and MF under conditions of the noise power uncertainty. The GD overcomes a negative impact of the noise power uncertainty. Thus, the GD can detect the PU signal at any arbitrary low SNR increasing the number N of samples. In other words, there is no SNR wall. In the case of ED, when there is no noise power uncertainty, i.e.,, there is no SNR wall and the PU signal can be detected at any low SNR by increasing the sensing time or the number N of samples. If there is the noise power uncertainty, there is the SNR wall for the ED and its location depends on the value ofand, consequently, the uncertainty parameterFor example, atdB, thedB, and atdB, thedB. Thus, the sample complexity tends to approach infinity as the SNR decreases tending to approach the SNR wall:(58)limSNRED→SNRwallEDf(SNRED,PFA,Pmiss,ρ) →∞


SNR Wall Effect Alleviation by Generalized Detector Employed in Cognitive Radio Networks.

Shbat MS, Tuzlukov V - Sensors (Basel) (2015)

The sample complexity curves of ED, MF, and GD under the noise power uncertainty.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541870&req=5

sensors-15-16105-f005: The sample complexity curves of ED, MF, and GD under the noise power uncertainty.
Mentions: As we can see from Figure 5, in the ideal case, i.e., the complete compensation of the noise component of the GD correlation channeland the random component of the GD ED channel, the GD presents the best sample complexity performance in comparison with the ED and MF under conditions of the noise power uncertainty. The GD overcomes a negative impact of the noise power uncertainty. Thus, the GD can detect the PU signal at any arbitrary low SNR increasing the number N of samples. In other words, there is no SNR wall. In the case of ED, when there is no noise power uncertainty, i.e.,, there is no SNR wall and the PU signal can be detected at any low SNR by increasing the sensing time or the number N of samples. If there is the noise power uncertainty, there is the SNR wall for the ED and its location depends on the value ofand, consequently, the uncertainty parameterFor example, atdB, thedB, and atdB, thedB. Thus, the sample complexity tends to approach infinity as the SNR decreases tending to approach the SNR wall:(58)limSNRED→SNRwallEDf(SNRED,PFA,Pmiss,ρ) →∞

Bottom Line: The most commonly used spectrum sensing techniques in cognitive radio (CR) networks, such as the energy detector (ED), matched filter (MF), and others, suffer from the noise uncertainty and signal-to-noise ratio (SNR) wall phenomenon.These detectors cannot achieve the required signal detection performance regardless of the sensing time.The simulation results confirm our theoretical issues and effectiveness of GD implementation in CR networks based on antenna array.

View Article: PubMed Central - PubMed

Affiliation: School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 702-701, Korea. modboss80@gmail.com.

ABSTRACT
The most commonly used spectrum sensing techniques in cognitive radio (CR) networks, such as the energy detector (ED), matched filter (MF), and others, suffer from the noise uncertainty and signal-to-noise ratio (SNR) wall phenomenon. These detectors cannot achieve the required signal detection performance regardless of the sensing time. In this paper, we explore a signal processing scheme, namely, the generalized detector (GD) constructed based on the generalized approach to signal processing (GASP) in noise, in spectrum sensing of CR network based on antenna array with the purpose to alleviate the SNR wall problem and improve the signal detection robustness under the low SNR. The simulation results confirm our theoretical issues and effectiveness of GD implementation in CR networks based on antenna array.

No MeSH data available.


Related in: MedlinePlus