Impact of Noise Power Uncertainty on Cooperative Spectrum Sensing in Cognitive Radio Systems

Hamdi, Karama; Zeng, Xiang Nian; Ghrayeb, Ali; Letaief, Khaled B.

doi:10.1109/glocom.2010.5683357

Cited by 19 publications

(15 citation statements)

References 11 publications

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“…Proof: To find the SNR wall, given γ, λ and U , for GED, (6) and (7) for unlimited sample size (N → ∞) can be written as (11) and (12) respectively. Derivations of (11) and (12) are given in Appendix.…”

Section: Theorem 1 For Generalized Energy Detector If Noise Uncertamentioning

confidence: 99%

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SNR wall for generalized energy detection under noise uncertainty in cognitive radio

Kalamkar

Banerjee

Gupta

2013

2013 19th Asia-Pacific Conference on Communications (APCC)

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Energy detection (ED) is a popular spectrum sensing technique in cognitive radio to detect the primary user. But the detection performance of ED deteriorates in the presence of noise uncertainty and exhibits associated SNR wall phenomenon. In this paper, the generalized energy detector (GED) is investigated, where the squaring operation of amplitude of received samples in conventional energy detector (CED) is replaced by an arbitrary positive operation p. Our aim is to study the effect of noise uncertainty on the detection performance of GED. We consider different distributions of noise uncertainty. Initially, uniform distribution of noise uncertainty is considered and an expression of the SNR wall for the same is derived. It is shown that the SNR wall for uniformly distributed noise uncertainty is independent of p. The study of the detection performance of GED is further extended for log-normally distributed noise uncertainty, where the SNR wall is calculated numerically.

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Section: Theorem 1 For Generalized Energy Detector If Noise Uncertamentioning

confidence: 99%

“…The SNR wall expression is found for the same in [11]. In [12], the detection performance for cooperative spectrum sensing is presented. In [14], the detection performance of CED under log-normal approximated noise uncertainty is considered.…”

Section: Introductionmentioning

confidence: 97%

SNR wall for generalized energy detection under noise uncertainty in cognitive radio

Kalamkar

Banerjee

Gupta

2013

2013 19th Asia-Pacific Conference on Communications (APCC)

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“…Noise uncertainty may cause inaccurate local decision of SUs, and thus affect the final global decision precision in the fusing centre [8]. To solve this problem, a cooperative spectrum sensing scheme with a double-threshold is proposed to detect weak signals of unknown formats and cope with hidden primary receiver problem [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Optimization of collaborating secondary users in a cooperative sensing under noise uncertainty

Gao

Xing

et al. 2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Cooperative spectrum sensing is employed in Cognitive Radio (CR) networks to reliably detect Primary User (PU) transmissions by fusing the sensed data of multiple Secondary Users (SUs). The local detection reliability of an individual SU is closely related to its channel condition. In this paper, we propose a scheme that uses SNR to evaluate the reliability of each individual SU's local decision. We optimize the number of SUs for the sensing based on their channel conditions to achieve the optimal global detection probability at the fusion centre. Simulation results show that the proposed algorithm is robust against noise uncertainty with the optimal number of SUs and better receiver operating characteristic (ROC) performance is obtained in comparison to conventional schemes.

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“…The energy detector is simple in structure and easy to implement. However, it is sensitive to noise uncertainty [7]. Covariances based detectors are robust to noise uncertainty, but have high computational complexity.…”

Section: Introductionmentioning

confidence: 99%

A Joint Sensing-Time Adaption and Data Transmission Scheme in Cognitive Radio Networks

Yin

Ren

Zhang

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Spectrum sensing is performed by secondary users (SUs) to detect primary users (PUs) in cognitive radio networks. The limited time duration allocated for spectrum sensing may result in high false alarm probability, which always leads to low spectrum utilization and degrades the SU throughput. To overcome this problem, we propose a novel joint sensingtime adaption and data transmission (JSTA-DT) scheme. In our proposed JSTA-DT scheme, two adjacent sensing periods are bundled to form a sensing block. In each sensing block, the SU performs partial time spectrum sensing in the first sensing period. If the sensing result indicates that the PU is absent, the SU transmits its data; otherwise, the SU performs full time spectrum sensing adaptively. Both theoretical analyses and simulation results show that compared to the conventional partial time spectrum sensing and data transmission scheme, the spectrum utilization and achievable SU throughput are improved significantly by using our proposed JSTA-DT scheme.978-1-4244-9268-8/11/$26.00 ©2011 IEEE This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE Globecom 2011 proceedings.

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Impact of Noise Power Uncertainty on Cooperative Spectrum Sensing in Cognitive Radio Systems

Cited by 19 publications

References 11 publications

SNR wall for generalized energy detection under noise uncertainty in cognitive radio

SNR wall for generalized energy detection under noise uncertainty in cognitive radio

Optimization of collaborating secondary users in a cooperative sensing under noise uncertainty

A Joint Sensing-Time Adaption and Data Transmission Scheme in Cognitive Radio Networks

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