On Using Interference-Aware Spectrum Sensing for Dynamic Spectrum Access in Cognitive Radio Networks

Lin, You-En; Liu, Kun-Hsing; Hsieh, Hung‐Yun

doi:10.1109/tmc.2012.16

Cited by 69 publications

(7 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus the probabilities of false alarm and missed detection for each CU can be defined and calculated as follows [23]:…”

Section: Sensing Modelmentioning

confidence: 99%

“…Only when the cases occurs that the received SNR γ of PR is smaller than the desired SNR t γ , rather than any missed detection, can we draw a conclusion that the PU is interfered by the SU. Thus the probability of interference can be defined and calculated as [23] ( )…”

Section: Probability Of Interferencementioning

confidence: 99%

“…In fact, the distance between PU and SU may have an impact on the sensing performance. Based on this idea, [23] introduces a new concept named interference-aware spectrum sensing that takes the distance between PU and SU into the consideration. It argues that even SU makes a missed detection, there still exists the case that SU does not interfere with PU due to the actual spatial distances between PU and SU.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Cooperative Sensing in Interference-Aware Cognitive Radio Networks over Imperfect Reporting Channel

2014

KSII TIIS

View full text Add to dashboard Cite

Due to the low utilization and scarcity of frequency spectrum in current spectrum allocation methodology, cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem, of which spectrum sensing is an important technology to utilize the precious spectrum resources. In order to protect the primary user from being interfered, most of the related works focus only on the restriction of the missed detection probability, which may causes over-protection of the primary user. Thus the interference probability is defined and the interference-aware sensing model is introduced in this paper. The interference-aware sensing model takes the spatial conditions into consideration, and can further improve the network performance with good spectrum reuse opportunity. Meanwhile, as so many fading factors affect the spectrum channel, errors are inevitably exist in the reporting channel in cooperative sensing, which is improper to be ignored. Motivated by the above, in this paper, we study the throughput tradeoff for interference-aware cognitive radio networks over imperfect reporting channel. For the cooperative spectrum sensing, the K-out-of-N fusion rule is used. By jointly optimizing the sensing time and the parameter K value, the maximum throughput can be achieved. Theoretical analysis is given to prove the feasibility of the optimization and computer simulations also shows that the maximum throughput can be achieved when the sensing time and the parameter of K value are both optimized.

show abstract

“…Thus the probabilities of false alarm and missed detection for each CU can be defined and calculated as follows [23]:…”

Section: Sensing Modelmentioning

confidence: 99%

Section: Probability Of Interferencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Cooperative Sensing in Interference-Aware Cognitive Radio Networks over Imperfect Reporting Channel

2014

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…A large portion of the allotted spectrum remains underutilized as steered in [1], [2], [3]. The inefficient usage of the restricted spectrum necessitates the Dynamic Spectrum Access techniques (DAS) [15]. In this method whenever secondary users (SU), who don't have any spectrum licenses are allowed to use the quickly unused accredited spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…In this method whenever secondary users (SU), who don't have any spectrum licenses are allowed to use the quickly unused accredited spectrum. Cognitive feature radio is the key sanctioning technology for the next generation communication networks, conjointly referred as Dynamic Spectrum Access networks [15]. Primary detection, sensing techniques will be classified into two broad categories, coherent and non-coherent detection [8].…”

Section: Introductionmentioning

confidence: 99%

Investigation of ROC parameters using Monte Carlo simulation in cyclostationary and energy detection spectrum sensing

Ansari¹,

Gulhane²

2015

2015 International Conference on Information Processing (ICIP)

View full text Add to dashboard Cite

Growing demand in the wireless world puts plenty of constraints on the usage of accessible spectrum. Static Spectrum Allocation (SSA) ends up in underutilization of spectrum. Much of the portion of Radio Frequency (RF) band is not effectively used. Cognitive feature Radio is upcoming technology to unravel spectrum deficiency. Various approaches have been developed to overcome this spectrum scarcity problem. In this work Cyclostationary feature detection (CFD) and Energy Detection Spectrum sensing techniques have been investigated using Monte Carlo simulation and compared on the basis of various ROC parameters. Spectrum sensing is the key that helps to sight the spectrum holes (underutilized band) providing high spectral resolution capability. Cyclostationary feature methodology out performs Energy detection in terms of detection likelihood Pd, likelihood of warning Pf and SNR. Both the algorithms are implemented using MATLAB. The result shows that for different SNR the CFD performs better than Ed. CFD also perform better in low signal to noise ratio as compare to ED.

show abstract

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

On Using Interference-Aware Spectrum Sensing for Dynamic Spectrum Access in Cognitive Radio Networks

Cited by 69 publications

References 31 publications

Optimization of Cooperative Sensing in Interference-Aware Cognitive Radio Networks over Imperfect Reporting Channel

Optimization of Cooperative Sensing in Interference-Aware Cognitive Radio Networks over Imperfect Reporting Channel

Investigation of ROC parameters using Monte Carlo simulation in cyclostationary and energy detection spectrum sensing

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

Contact Info

Product

Resources

About