Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View

Peh, Edward; Liang, Ying‐Chang; Guan, Yong Liang; Zeng, Yonghong

doi:10.1109/tvt.2009.2028030

Cited by 421 publications

(241 citation statements)

References 15 publications

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“…Various cooperative sensing schemes (Chair and Varshney, 1986;Quan et al, 2008) are used to fuse the sensing information of the secondary users. Peh et al (2009) proposed an iterative algorithm to optimize the sensing time and the parameters of the fusion scheme in order to maximize the throughput of CRNs. Shahid and Kamruzzaman (2008) proposed a new cooperative spectrum sensing technique in CRNs.…”

Section: Spectrum Sensingmentioning

confidence: 99%

Cognitive radio network security: A survey

Parvin

Hussain

et al. 2012

Journal of Network and Computer Applications

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Section: Spectrum Sensingmentioning

confidence: 99%

Cognitive radio network security: A survey

Parvin

Hussain

et al. 2012

Journal of Network and Computer Applications

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“…If a secondary user suffers from shadowing or heavy fading, the sensed signal tends to be weak while the primary user is transmitting, leading to incorrect decisions. To address these problems while maintaining sensing simplicity, cooperative sensing schemes that fuse the sensing results of multiple secondary users, have been proposed [3,4]. The authors of [5] showed that cooperative sensing can reduce the detection time of the primary user and increase the overall agility.…”

Section: Introductionmentioning

confidence: 99%

“…The author in [10] proposed a sensing-throughput tradeoff problem under a cooperative sensing scenario which is formulated to find a pair of sensing time and k value in k-out-of N fusion rule that maximize the secondary users' throughput subject to sufficient protection that is provided to the primary user. In [11], minimizing energy consumption with constraints on the detection performance is proposed while the SNR is the same for all sensors.…”

Section: Introductionmentioning

confidence: 99%

Throughput Improvement in Energy-Efficient Cooperative Spectrum Sensing Based on Sensor Selection

Ebrahimzadeh

Najimi

2015

Wireless Pers Commun

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Cooperative spectrum sensing in cognitive sensor networks has been shown to be very effective in improving the sensing performance. Sensors in these networks are assumed to be power re-source constrained. We propose an energy efficient cooperative spectrum sensing, in which all sensors are not participated in spectrum sensing and some nodes send their data to a fusion center only in order to improve the throughput of the network. We determine the nodes which sense the spectrum and the nodes which only contribute in data transmitting. The constraints on our problem are the global probability of detection, global probability of false alarm and the minimum required throughput. Based on the standard optimization techniques, the optimal conditions are obtained and a closedform equation is expressed to determine the priority of nodes for spectrum sensing and data transmitting. Simulation results show that our algorithm leads to less energy consumption and improves the throughput in different conditions.

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“…This can be achieved by employing a frame structure [6,7]. The frame structure consists of a sensing slot and a data transmission slot, while the total frame duration is fixed.…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Sensing for Delay-Constrained Cognitive Radio Systems Via Convex Optimization

Zhang

2014

J Optim Theory Appl

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Spectrum sensing is a critical issue in cognitive radio (CR) systems. When the energy of the CR system is constrained, using the energy efficiently is an important problem, which must be considered. In this paper, the energy efficiency is defined as the ratio of average spectrum efficiency of the CR system over average power consumed by the CR system. We consider a joint optimization of sensing time and power allocation to maximize the energy efficiency under the condition of sufficient protection to primary user and the delay constraint. It is demonstrated that convex optimization plays an essential role in solving the problem. An efficient iterative algorithm is proposed to obtain the optimal values. Then, we propose a block sensing scheme in which several adjacent frames are bundled as a block. Our results show that significant improvement in the energy efficiency is obtained via joint optimization of sensing time and power allocation. The energy efficiency and the delay performance can be further improved by using the proposed block sensing scheme.

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Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View

Cited by 421 publications

References 15 publications

Cognitive radio network security: A survey

Cognitive radio network security: A survey

Throughput Improvement in Energy-Efficient Cooperative Spectrum Sensing Based on Sensor Selection

Energy-Efficient Sensing for Delay-Constrained Cognitive Radio Systems Via Convex Optimization

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