Performance evaluation of improved double-threshold energy detector over Rayleigh-faded sensing and imperfect reporting channels

Rabiee, Ramtin; Li, Kwok Hung

doi:10.1016/j.phycom.2015.08.002

Cited by 5 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the energy efficiency (EE) in CSS is a challenging issue because the consumption of energy increases as cooperation increases. 39 Further, they illustrated that the sensing error is reduced by IEDSS as compared with EDSS. Moreover, there is a trade-off between EE and spectral efficiency (SE).…”

Section: Related Workmentioning

confidence: 99%

“…Further, they have considered that each CU uses IEDSS and double threshold selection technique is used to take decision, which consequently increased the throughput of CU in OR cooperative scenario under AWGN 38 and Rayleigh channel. 39 Further, they illustrated that the sensing error is reduced by IEDSS as compared with EDSS. Further, several researchers 45,46 have illustrated that the optimal threshold is possible for CU to detect the PU presence with EDSS even at low SNR that is at high noise level by increasing the number of samples or/and cooperation between CUs.…”

Section: Related Workmentioning

confidence: 99%

“…Juarez and Ghogho 36 have analyzed the trade-off between sensing time and achievable throughput under the constraint of detection probability for CSS in the Nakagami fading environment. However, Rabiee and Li 38,39 have suggested that the improvement in reliability and detection capability of CU is possible when it employs improved EDSS (IEDSS) in place of EDSS. However, the energy efficiency (EE) in CSS is a challenging issue because the consumption of energy increases as cooperation increases.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, Jafarian and Hamdi 26 have employed double threshold and maximized the throughput of CU in CSS under the constraint that PU is sufficiently protected from CU while employing EDSS. However, Rabiee and Li 38,39 have suggested that the improvement in reliability and detection capability of CU is possible when it employs improved EDSS (IEDSS) in place of EDSS. In EDSS, (X(n)) 2 (where X(n) is the received signal at CU) is employed while in IEDSS, arbitrary value for the power exponent (p) is used when computing the energy of received signal in (X(n)) p .…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Intelligent threshold selection in fading environment of cognitive radio network: Advances in throughput and total error probability

Kumar

Thakur

Pandit

et al. 2019

Int J Communication

View full text Add to dashboard Cite

One of the main challenges of spectrum sensing (SS) in the cognitive radio network (CRN) is selection of threshold for captivating the sensing decision, and such an issue becomes more challenging especially at low signal-to-noise ratio (SNR) because it affects the sensing performance and throughput of cognitive user (CU). However, the sensing decision of individual CU may not be accurate due to fading effects in the sensing environment, and significant improvement is accomplished with the cooperation of users. Therefore, in this paper, we have investigated the performance of energy detector SS (EDSS) technique in the CRN under fading environment with cooperative and noncooperative SS scenario. Further, we have introduced the concept of critical SNR (γ c ) to select the appropriate threshold and based on which the algorithms are proposed to enhance the throughput and reduce the total error (sensing error) probability of CU at different SNR (γ). From the results, we have accomplished that at the low SNR region (γ ≤ γ c ), throughput is maximum with constant false-alarm rate (CFAR) threshold selection approach in the cooperative scenario while in the high SNR region (γ > γ c ), its value is maximum with minimizing the error probability (MEP) threshold selection approach in the noncooperative scenario. Moreover, the sensing error is reduced with cooperation, and threshold selection with MEP approach outperforms CFAR approach for γ ≤ γ c . Further, the proposed approach outperforms the other approaches in terms of throughput and sensing error (total error) probability in the Rayleigh and Nakagami-m fading environments.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent threshold selection in fading environment of cognitive radio network: Advances in throughput and total error probability

Kumar

Thakur

Pandit

et al. 2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Many cognitive CSS methods for CR have been explored previously; authors in [12] and [13] have proposed doublethreshold (DTH) methods for improving detection and false alarm reliability. Furthermore, authors in [14], [15] and [16] have explored the use of cognitive radio in small cell networks, with the aims of reducing power consumption, optimizing sensing time, increasing user fairness and limiting interference using hybrid spectrum sensing.…”

Section: Introductionmentioning

confidence: 99%

Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications

Hill

Sun

2018

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

as vehicular communication becomes a widespread phenomenon, there will be an increase in spectrum scarcity. Cognitive radio provides an effective solution but requires a robust sensing mechanism that entails a large overhead; this additional sensing data could be detrimental to a system already lacking in bandwidth. This paper proposes novel ways of limiting sensing overhead by improving upon current methods which use cooperative mechanisms and adjustable double thresholds (DTHs). Based on a sliding variable, the proposed thresholds can react to changes in the environment, providing the required primary user detection and false alarm probabilities while limiting the number of vehicles reporting sensing data. Three new DTHs have been proposed: detection-based DTH, decision-based DTH, and independent-threshold DTH. Each has unique properties that make it suited for different environments. Simulations were run on all proposed thresholds to test their validity and endurance under environmental changes. The results indicate that the double thresholds would greatly benefit high-contention, dense vehicular networks.

show abstract

Threshold selection analysis of spectrum sensing for cognitive radio network with censoring based imperfect reporting channels

2020

View full text Add to dashboard Cite

Performance evaluation of improved double-threshold energy detector over Rayleigh-faded sensing and imperfect reporting channels

Cited by 5 publications

References 35 publications

Intelligent threshold selection in fading environment of cognitive radio network: Advances in throughput and total error probability

Intelligent threshold selection in fading environment of cognitive radio network: Advances in throughput and total error probability

Double Threshold Spectrum Sensing Methods in Spectrum-Scarce Vehicular Communications

Threshold selection analysis of spectrum sensing for cognitive radio network with censoring based imperfect reporting channels

Contact Info

Product

Resources

About