Reporting Order Control for Fast Primary Detection in Cooperative Spectrum Sensing

Noh, Gosan; Wang, Hano; Jo, Jung Hyun; Kim, Byoung-Hoon; Hong, Daesik

doi:10.1109/tvt.2011.2165863

Cited by 18 publications

(46 citation statements)

References 14 publications

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“…Different from the above works [13][14][15][16][17][18][19][20][21]23] based on TDMA reporting, reference [24] applied quickest detection in spectrum sensing in CRNs when multiple SUs collaborate with limited communication time slots and proposed a threshold random broadcast scheme without an explicit coordination for the information exchange. A random access-based reporting order control scheme for cooperative sensing was proposed in [25] . By controlling the reporting order of local statistics, the global statistic at the fusion center accumulates faster than the case without order control.…”

Section: Related Workmentioning

confidence: 99%

“…The fusion center then makes a final soft or hard decision regarding the presence or absence of PUs [11,12] . The cooperative gains in spectrum sensing performance have been extensively demonstrated in existing works [13][14][15][16][17][18][19][20][21][22][23][24][25] .…”

Section: Introductionmentioning

confidence: 99%

“…In conventional CSS schemes, the local statistic of each SU basically has to be sent to the fusion center in different time slots based on a time division multiple access (TDMA) scheme [13][14][15][16][17][18][19][20][21][22][23] or a random access scheme [24,25] , due to the extremely limited bandwidth of the common control channel. 2 Correspondingly, the fusion center decodes each received local statistic separately and finally computes the overall test statistic which in this paper turns out the weighted arithmetic mean of the collected local statistics.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time-efficient cooperative spectrum sensing via analog computation over multiple-access channel

Zheng

Liang

et al. 2017

Computer Networks

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Time-efficient cooperative spectrum sensing via analog computation over multiple-access channel

Zheng

Liang

et al. 2017

Computer Networks

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“…However, due to the presence of noises and fading of wireless channels, hidden terminals, obstacles, and so on, spectrum sensing of individual nodes cannot achieve high detection accuracies [6], [7]. In contrast, cooperative spectrum sensing (CSS) exploits a parallel fusion sensing architecture in which independent secondary users (SUs) transmit their sensing data to a fusion center in different time slots based on a time division multiple access (TDMA) scheme [8]- [15] or a random access scheme [16], [17], due to the extremely limited bandwidth of the common control channel. 1 The fusion center then makes a final soft or hard decision regarding the presence or absence of PUs.…”

mentioning

confidence: 99%

“…1 The fusion center then makes a final soft or hard decision regarding the presence or absence of PUs. The cooperative gains in spectrum sensing performance have been extensively demonstrated in existing works [6]- [17]. However, the drawback of CSS schemes is that both the energy consumption and the reporting time grow linearly with the number of cooperative SUs.…”

mentioning

confidence: 99%

Energy-Efficiency Maximization for Cooperative Spectrum Sensing in Cognitive Sensor Networks

Zheng

Chen

Liang

et al. 2017

IEEE Trans. on Green Commun. Netw.

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Abstract-Spectrum sensing is the prerequisite of opportunistic spectrum access in cognitive sensor networks (CSNs) as its reliability determines the success of transmission. However, spectrum sensing is an energy-consuming operation that needs to be minimized for CSNs due to resource limitations. This paper considers the case where the cognitive sensors cooperatively sense a licensed channel by using the CoMAC-based cooperative spectrum sensing (CSS) scheme to determine the presence of primary users. Energy efficiency (EE), defined as the ratio of the average throughput to the average energy consumption, is a very important performance metric for CSNs. We formulate an EEmaximization problem for CSS in CSNs subject to the constraint on the detection performance. In order to address the non-convex and non-separable nature of the formulated problem, we first find the optimal expression for the detection threshold and then propose an iterative solution algorithm to obtain an efficient pair of sensing time and the length of the modulated symbol sequence. Simulations demonstrate the convergence and optimality of the proposed algorithm. It is also observed in simulations that the combination of the CoMAC-based CSS scheme and the proposed algorithm yields much higher EE than conventional CSS schemes while guaranteeing the same detection performance.

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Efficient secondary access with intelligent spectrum sensing in cognitive radio networks

Dai

Liu

Sun³

et al. 2013

Int J Communication

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SUMMARYIn cognitive radio networks, cooperative sensing can significantly improve the performance in detection of a primary user via secondary users (SUs) sharing their detection results. However, a large number of cooperative SUs may induce great sensing delay, which degrades the performance of secondary transmissions. In this paper, we jointly consider cooperative sensing and cognitive transmission in cognitive radio networks, aiming to achieve efficient secondary access with low sensing overhead under both the sensing time and reporting power limitations, where primary users are guaranteed to be sufficiently protected. We first propose an adaptive sensing scheme to lower the detection time while not degrading the detection probability. Then, based on the proposed adaptive sensing scheme, an efficient cognitive transmission protocol is well designed, which improves the throughput of secondary transmissions while ensuring the QoS of primary transmissions. We analyze the performance for the proposed secondary access framework in terms of misdetection probability, average detection time and normalized secondary throughput, respectively, and derive their closed-form expressions over Rayleigh fading channels with considering the reporting errors accordingly. We also study the problems of optimizing the number of cooperative SUs to minimize the misdetection probability and average detection time, and maximize the normalized secondary throughput for proposed framework. Simulation results reveal that the proposed framework outperforms the traditional case significantly.

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Reporting Order Control for Fast Primary Detection in Cooperative Spectrum Sensing

Cited by 18 publications

References 14 publications

Time-efficient cooperative spectrum sensing via analog computation over multiple-access channel

Time-efficient cooperative spectrum sensing via analog computation over multiple-access channel

Energy-Efficiency Maximization for Cooperative Spectrum Sensing in Cognitive Sensor Networks

Efficient secondary access with intelligent spectrum sensing in cognitive radio networks

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