Cluster-based cooperative spectrum sensing over correlated log-normal channels with noise uncertainty in cognitive radio networks

Reisi, Nima; Ahmadian, M.; Jamali, Vahid; Salari, Soheil

doi:10.1049/iet-com.2011.0401

Cited by 17 publications

(20 citation statements)

References 19 publications

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“…Σ n (16) Our object is to approximate the sum of two or three lognormal variables by another log-normal vector x as in [16]. The mathematical derivation is devised for IQI in transmitter for the hypothesis H 1 , then…”

Section: Problem Formulationmentioning

confidence: 99%

On the interaction between i/Q imbalance and cooperative cognitive radio spectrum sensing

Didekhani

Sadough

2015

2015 23rd Iranian Conference on Electrical Engineering

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In-phase and quadrature-phase imbalance (IQI) that is caused by direct-conversion transceivers is investigated in the context of cognitive radio (CR) systems based on energy detection. More precisely, in a cooperative CR sensing framework, we derive the optimal weighting vector for combining efficiently signals received at each CR terminal in the presence of IQI at the analog front-ends of both primary and secondary users. The deflection criterion is optimized so as to derive the linear coefficients used at the fusion center of the CR system. Numerical results are provided to analyze the effect of IQI on primary transmitter and secondary receiver.

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Section: Problem Formulationmentioning

confidence: 99%

On the interaction between i/Q imbalance and cooperative cognitive radio spectrum sensing

Didekhani

Sadough

2015

2015 23rd Iranian Conference on Electrical Engineering

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“…However, the major disadvantage of energy detection is the hidden node problem, in which the sensing node cannot distinguish between an idle and a deeply faded or shadowed band [1]. Cooperative spectrum sensing (CSS) which uses a distributed detection model has been considered to overcome that problem [2][3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…A similar problem can be observed in the cluster scheme in [9], though the optimal cluster size to maximize the throughput used for negotiation is identified. Another consideration of the cluster scheme is to enhance sensing performance when the reporting channel suffers from a severe fading environment [10,11].…”

Section: Introductionmentioning

confidence: 99%

A cluster-based selective cooperative spectrum sensing scheme in cognitive radio

Nguyen-Thanh

Koo

2013

J Wireless Com Network

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Developing an effective cooperative spectrum sensing (CSS) scheme in cognitive radio (CR), which is considered as promising system for enhancing spectrum utilization, is necessary. In this paper, a cluster-based optimal selective CSS scheme is proposed for reducing reporting time and bandwidth while maintaining a certain level of sensing performance. Clusters are organized based on the identification of primary signal signal-to-noise ratio value, and the cluster head in each cluster is dynamically chosen according to the sensing data qualities of CR users. The cluster sensing decision is made based on an optimal threshold for selective CSS which minimizes the probability of sensing error. A parallel reporting mechanism based on frequency division is proposed to considerably reduce the time for reporting decision to fusion center of clusters. In the fusion center, the optimal Chair-Vashney rule is utilized to obtain a high sensing performance based on the available cluster's information.

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“…The authors in [5] has built a location testing model under correlated shadowing and figured out a lower bound of false alarm probability which is regardless of the growth of number of sensors over a finite area. The work in [8] and [9] focuses on the linear combinations of local observations and studies the power sum of correlated log-normal random variables. In [7], without delving into the detection performance, the sensor selection is analyzed regardless of the optimal number of sensors.…”

Section: Introductionmentioning

confidence: 99%

Grid based Cooperative Spectrum Sensing in Cognitive Networks under Correlated Shadowing

Mähönen

2012

Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks

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Correlated shadowing can have significant effects on the performance of cooperative spectrum sensing. In this paper, we investigate a grid based cooperative spectrum sensing in cognitive networks under correlated shadowing. We study three types of grids: equilateral triangular, square and hexagonal grids, where the sensing users are deployed at the intersections of the polygons. The collaboration is formed as a location testing problem with Gaussian noise, where the shadow fading is modeled as a multivariate Gaussian process with two dimensional exponential correlation model. We have evaluated the results regards to the number of collaborating users combined with the separation distance of two adjacent users. It is found that the three layouts yield the same detection performance as that of experiencing independent shadowing when the separation distance exceeds approximately 6 times the decorrelation distance in urban areas.

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Cluster-based cooperative spectrum sensing over correlated log-normal channels with noise uncertainty in cognitive radio networks

Cited by 17 publications

References 19 publications

On the interaction between i/Q imbalance and cooperative cognitive radio spectrum sensing

On the interaction between i/Q imbalance and cooperative cognitive radio spectrum sensing

A cluster-based selective cooperative spectrum sensing scheme in cognitive radio

Grid based Cooperative Spectrum Sensing in Cognitive Networks under Correlated Shadowing

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