#### DMCA

## Networks with Noise Variance Uncertainty

### Citations

743 | BNeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey
- Akyildiz, Lee, et al.
- 2006
(Show Context)
Citation Context ...se variance uncertainty, SNR wall, Sensing Throughput tradeoff. I. INTRODUCTION Cognitive radio (CR) is one of the promising approaches to improve the spectral efficiency of current wireless networks =-=[1]-=-, [2]. One key feature of a CR network is the potential to learn its surrounding radio environment, which is performed by the spectrum sensing (signal detection) part of the CR device. The most widely... |

439 | Implementation issues in spectrum sensing for cognitive radios
- Cabric, Mishra, et al.
(Show Context)
Citation Context ...d filter, energy and cyclostationary based detectors. Among these, the matched filter is optimal, which, however, requires perfect synchronization between the primary transmitter and cognitive device =-=[3]-=-. The energy detector (hereafter referred as conventional energy detector (CED)) does not require any information about the primary user and it is simple to implement. However, the CED is very sensiti... |

291 | Sensing-throughput tradeoff for cognitive radio networks - Liang, Zeng, et al. - 2006 |

173 |
SNR walls for signal detection
- Tandra, Sahai
- 2008
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Citation Context ... 6MHz (i.e.,sk = [k1;sk2] = [1; 0:71]). Furthermore, the true noise variance is modeled as a bounded interval of [ 1ϵ 2 ϵ2] for some ϵ = 10∆ 2=10 > 1, where the uncertainty ∆2 is expressed in dB =-=[4]-=-. We assume that this bound follows a uniform distribution, i.e., U [ 1ϵ2 ϵ2]. The noise variance is the same for one experiment (since it has a short duration) and follows a uniform distribution du... |

50 | Eigenvalue-based spectrum sensing algorithms for cognitive radio
- Zeng, Liang
- 2009
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Citation Context ...ainst noise variance uncertainty and it can reject the effect of external interference, which unfortunately has high computational complexity and is sensitive to cyclic frequency mismatch [5]–[7]. In =-=[8]-=-, the eigenvalue decomposition (EVD)-based signal detector is proposed. This detector is robust against noise variance uncertainty but its computational complexity is high [9], [10]. Recently in [11],... |

24 |
A Survey of Cognitive Radio Access to TV White Spaces,”
- Nekovee
- 2010
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Citation Context ...riance uncertainty, SNR wall, Sensing Throughput tradeoff. I. INTRODUCTION Cognitive radio (CR) is one of the promising approaches to improve the spectral efficiency of current wireless networks [1], =-=[2]-=-. One key feature of a CR network is the potential to learn its surrounding radio environment, which is performed by the spectrum sensing (signal detection) part of the CR device. The most widely know... |

16 | Cyclostationary feature detector experiments using reconfigurable BEE2
- Tkachenko, Cabric, et al.
- 2007
(Show Context)
Citation Context ...se Track 1 Dynamic Spectrum Access / Management variance uncertainty, and there is a signal to noise ratio (SNR) wall below which this detector can not guarantee the desired detection performance [3]–=-=[5]-=-. Cyclostationary based detector is robust against noise variance uncertainty and it can reject the effect of external interference, which unfortunately has high computational complexity and is sensit... |

13 | Robustness of the cyclostationary detection to cyclic frequency mismatch
- Zeng, Liang
- 2010
(Show Context)
Citation Context ...obust against noise variance uncertainty and it can reject the effect of external interference, which unfortunately has high computational complexity and is sensitive to cyclic frequency mismatch [5]–=-=[7]-=-. In [8], the eigenvalue decomposition (EVD)-based signal detector is proposed. This detector is robust against noise variance uncertainty but its computational complexity is high [9], [10]. Recently ... |

7 | Multi-cycle cyclostationary based spectrum sensing algorithm for OFDM signals with noise uncertainty in cognitive radio networks - Bogale, Vandendorpe |

7 |
Max-min SNR signal energy based spectrum sensing algorithms for cognitive radio networks with noise variance uncertainty
- Bogale, Vandendorpe
- 2014
(Show Context)
Citation Context ...n [8], the eigenvalue decomposition (EVD)-based signal detector is proposed. This detector is robust against noise variance uncertainty but its computational complexity is high [9], [10]. Recently in =-=[11]-=-, new Max-Min SNR based signal detector is proposed. This paper employs linear combination approach of the oversampled received signal. Under noise variance uncertainty, simulation results demonstrate... |

6 | On the performance of spectrum sensing algorithms using multiple antennas
- Liang, Pan, et al.
(Show Context)
Citation Context ...ncy mismatch [5]–[7]. In [8], the eigenvalue decomposition (EVD)-based signal detector is proposed. This detector is robust against noise variance uncertainty but its computational complexity is high =-=[9]-=-, [10]. Recently in [11], new Max-Min SNR based signal detector is proposed. This paper employs linear combination approach of the oversampled received signal. Under noise variance uncertainty, simula... |

5 |
Linearly combined signal energy based spectrum sensing algorithm for cognitive radio networks with noise variance uncertainty
- Bogale, Vandendorpe
- 2013
(Show Context)
Citation Context ...ismatch [5]–[7]. In [8], the eigenvalue decomposition (EVD)-based signal detector is proposed. This detector is robust against noise variance uncertainty but its computational complexity is high [9], =-=[10]-=-. Recently in [11], new Max-Min SNR based signal detector is proposed. This paper employs linear combination approach of the oversampled received signal. Under noise variance uncertainty, simulation r... |

4 |
Wideband sensing and optimization for cognitive radio networks with noise variance uncertainty
- Bogale, Vandendorpe, et al.
- 2015
(Show Context)
Citation Context ... It is assumed that there are one white sub-band, and one target sub-band which is either white or non-white. In a wide-band scenario, the white sub-band can be identified by applying the approach of =-=[13]-=- (see [13] for more details). Under this assumption, first we propose a novel generalized energy detector (GED) for examining the target sub-band by exploiting the noise information of the white sub-b... |

4 |
USRP implementation of Max-Min SNR signal energy based spectrum sensing algorithms for cognitive radio networks
- Bogale, Vandendorpe
- 2014
(Show Context)
Citation Context ...ncertainty and small to medium ACI, and it outperforms CED and EVD-based signal detectors. Furthermore, the detector of [11] is already implemented using universal software radio peripheral (USRP) in =-=[16]-=- and has shown consistent result with the theory. Due to this reason, we compare the proposed GED (6) with the detector of [11] for pulse shaped signals with known rolloff factor (i.e., one band with ... |

3 |
Spectral Analysis of Signals, Printice
- Stoica, Moses
- 2005
(Show Context)
Citation Context ....d) zero mean circularly symmetric complex Gaussian (ZMCSCG) random variables all with variance 2 which is unknown or known imperfectly. The discrete time Fourier transform (DFT) of r[n] is given as =-=[14]-=- ~r[m] = Ns∑ n=1 r[n] exp i2(m1)(n1) Nsp Ns ; m = 1; ; Ns: The average energies of the frequency regions [0 : Bk] and [Bk : B] are given by AE([0 : Bk]) = Ndk∑ m=1 j~r[m]j2 Ndk , Ndk∑ j=1 jd... |