Effective Monitoring of Freeloading User in the Presence of Active User in Cognitive Radio Networks

Benedetto, Francesco; Giunta, Gaetano; Guzzon, E.; Renfors, Markku

doi:10.1109/tvt.2013.2290035

Cited by 22 publications

(8 citation statements)

References 34 publications

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“…To successively sense an interference signal at the controller, the interfering nodes must be

\sqrt[γ]{S_{0}}

meters away from it. Thus, the sensing range of controller is limited by Equation .

R_{c} = ((), 1 + \sqrt[γ]{S_{0}}) \times d_{opt}

where S 0 denotes the capture threshold value for a correct reception.…”

Section: Estimation Of Emergency User Using Fixed Sensing Rangementioning

confidence: 99%

“…To successively sense an interference signal at the controller, the interfering nodes must be ffiffiffiffi ffi S 0 γ p meters away from it. Thus, the sensing range 19 of controller is limited by Equation (12).…”

Section: Signal To Interference Ratio Modelmentioning

confidence: 99%

“…Literature exploits higher order moments of user's power to obtain an estimation of authorized and un‐authorized hidden users. They devised the algorithm to detect unknown low power constant modulus signals in noise of unknown variance.…”

Section: Introductionmentioning

confidence: 99%

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A novel approach of user existence awareness using adaptive spectrum sensing controllers in emergency‐based cognitive radio adhoc networks

Sudhakaran¹,

Suganthi²

2018

Int J Communication

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Summary Spectrum sharing can be considered as an alternative solution to overcome spectrum limitation. Cognitive radio is the most important spectrum sharing technique in wireless communication system, which aims to enhance the utilization of radio frequency spectrum. Identification of spectrum environments like location of both licensed and unlicensed users has been considered in cognitive radio technology. In this paper, cognitive controller is an emergency repairing unit, which is introduced to maximize the number of connected users in an emergency situation. The analysis shows that the sensing efficiency of fixed sensing controller to identify users is limited to its sensing region. A hybrid technique with overlay and underlay accessing to perform data offloading in emergency situations and to connect the disconnected users is proposed to enhance the location sensing efficiency of the controller. A cognitive user node located at the interference region of controller experiences hidden node problem and causes interference to other users. In order to identify such users, an adaptive and cooperative sensing‐based controller is proposed, and efficiency of which is compared with the efficiency of fixed sensing controller. Theoretical and simulation analysis explores that the sensing capacity of adaptive sensing controller provides 42% of higher efficiency than the fixed sensing method.

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“…To successively sense an interference signal at the controller, the interfering nodes must be

\sqrt[γ]{S_{0}}

meters away from it. Thus, the sensing range of controller is limited by Equation .

R_{c} = ((), 1 + \sqrt[γ]{S_{0}}) \times d_{opt}

where S 0 denotes the capture threshold value for a correct reception.…”

Section: Estimation Of Emergency User Using Fixed Sensing Rangementioning

confidence: 99%

Section: Signal To Interference Ratio Modelmentioning

confidence: 99%

See 1 more Smart Citation

A novel approach of user existence awareness using adaptive spectrum sensing controllers in emergency‐based cognitive radio adhoc networks

Sudhakaran¹,

Suganthi²

2018

Int J Communication

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“…Similarly, MUs provide an incorrect look about the spectrum availability, while it is already in use by the PU which reduces overall detection probability of the system. The detection of unfair user using a novel method is proposed in [14], in which the unfair user hides its radio signal under the noise floor in the presence of an active primary user or SU for a constant false alarm rates. An innovative technique for the detection of orthogonal frequency division multiplexing-(OFDM-) based PU signal is proposed under the constant false alarm rate (CFAR) in [15].…”

Section: Introductionmentioning

confidence: 99%

Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm

Gul

Qureshi

Elahi

et al. 2018

International Journal of Antennas and Propagation

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In cognitive radio network (CRN), secondary users (SUs) try to sense and utilize the vacant spectrum of the legitimate primary user (PU) in an efficient manner. The process of cooperation among SUs makes the sensing more authentic with minimum disturbance to the PU in achieving maximum utilization of the vacant spectrum. One problem in cooperative spectrum sensing (CSS) is the occurrence of malicious users (MUs) sending false data to the fusion center (FC). In this paper, the FC takes a global decision based on the hard binary decisions received from all SUs. Genetic algorithm (GA) using one-to-many neighbor distance along with z-score as a fitness function is used for the identification of accurate sensing information in the presence of MUs. The proposed scheme is able to avoid the effect of MUs in CSS without identification of MUs. Four types of abnormal SUs, opposite malicious user (OMU), random opposite malicious user (ROMU), always yes malicious user (AYMU), and always no malicious user (ANMU), are discussed in this paper. Simulation results show that the proposed hard fusion scheme has surpassed the existing hard fusion scheme, equal gain combination (EGC), and maximum gain combination (MGC) schemes by employing GA.

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“…The conventional solution is based on the energy detector (ED) [8]- [9], but its performance deteriorates in presence of low signal-to-noise ratios (SNR), due to strong channel noise. A solution is offered by detection techniques based on cyclostationarity features [10], higher order moments [11], or on autocorrelation functions [12]. These techniques allow distinguishing the periodicity of the autocorrelation from the channel noise, providing better performance than the ED.…”

Section: Introductionmentioning

confidence: 99%

Cooperative spectrum sensing for positioning in cognitive radios

Benedetto

Tedeschi

Giunta

2014

2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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The cognitive radio technology promises to become the solution to the spectrum scarcity problem, allowing secondary (unlicensed) users to opportunistically access vacant frequency bands licensed to primary users. Cooperative spectrum sensing is the technique used to discover the unoccupied frequency bands, in the presence of strong fading and shadowing effects. In addition, cooperative spectrum sensing allows to exploit positioning information as well as location awareness. The cooperative sensors are usually assumed independent each other, in order to simplify the analysis. Conversely, here we consider the case of correlated observations and propose a new double threshold test, in order to improve the detection performance, while reducing the time requested to detect a primary user. Our test combines two different fusion rules at once (i.e. the OR and the Majority voting rules), recovering all those unlucky detection cases that are not sensed due to strong shadowing. Finally, our simulation results show the effectiveness of the proposed method for application to cooperative sensing for positioning in the presence of correlated observations.

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Effective Monitoring of Freeloading User in the Presence of Active User in Cognitive Radio Networks

Cited by 22 publications

References 34 publications

A novel approach of user existence awareness using adaptive spectrum sensing controllers in emergency‐based cognitive radio adhoc networks

A novel approach of user existence awareness using adaptive spectrum sensing controllers in emergency‐based cognitive radio adhoc networks

Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm

Cooperative spectrum sensing for positioning in cognitive radios

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