Cognitive radio network architecture

Chen, K.-C.; Peng, Yucheng; Prasad, Neeli R.; Liang, Ying-Chang; Sun, Sumei

doi:10.1145/1352793.1352818

Cited by 63 publications

(43 citation statements)

References 19 publications

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“…This forces SU to stop using frequency band and it is vacated. The another PUE attack is Induced PUE attack, in this attack the attacker advertises the high frequency signals [12] so that SU fails to identify the presence of PU. In co-ordinated PUE attack, many malicious nodes will co-ordinate with each other to launch attacks on different channels so that as many as CRN's become disrupted.…”

Section: Primary User Emulation Attackmentioning

confidence: 99%

A Survey onadvances in security threats and its counter measures in cognitive radio networks

Ganesh¹,

Kumar²

2018

IJET

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Cognitive radio is a promising wireless communication technology that improves spectrum utilization and offers many benefits for internet users. Cognitive radio networks utilizes the available limited resources in a more efficient and flexible way. The main objective of the Cognitive network is to efficiently utilize the unutilized spectrum and meet the demand of the secondary users. some of the important features of cognitive of Cognitive radio networks are dynamic spectrum access, self organizing and flexibility. As Cognitive radio networks are flexible in nature, it will be effected by various security attacks which in turn affects the performance of the network. Furthermore Cognitive radio networks transmit the spectrum in several licensed bands and it also performs dynamic spectrum allocation. Cognitive radio and Cognitive radio networks are wireless in nature these face conventional attacks. In this survey we address various attacks in different layers , new threats and challenges that Cognitive networks face, current available solutions to address layer attacks. In addition applications, open problems and future Research challenges are also specified.

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Section: Primary User Emulation Attackmentioning

confidence: 99%

A Survey onadvances in security threats and its counter measures in cognitive radio networks

Ganesh¹,

Kumar²

2018

IJET

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“…Transmit power control is a feature that enables a device to dynamically switch between several transmission power levels according to environment status such as path loss, interference value, SNR thresholds, link data rate etc. It allows transmission at the allowable limits when necessary, but reduces the transmitter power to a lower level to allow greater sharing of spectrum when higher power operation is not necessary [17,18]. The transmissions techniques can be classified into two types: overlay and underlay approach.…”

Section: Dynamic Spectrum Management Andmentioning

confidence: 99%

“…Security management is needed in the radio to provide trust worthy communication. Due to the heterogeneity of Cognitive Radio Networks, routing and topology information at network nodes will get complex [17][18]. Good mobility and connection management can help neighborhood discovery and detect available service, which help cognitive radios to select route and networks.…”

Section: Fig 8: Cognitive Radio Architecturementioning

confidence: 99%

Cognitive Radio New Dimension in Wireless Communication State of Art

Singh¹,

Singh²,

Kang³

2013

IJCA

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In today's wireless communication environment, the Radio Frequency spectrum is occupied for different purposes like cellular, Television, military, emergency or satellite communication. The frequency spectrum used for cellular communication is getting over crowded with increasing number of subscribers and demand for high data rate text or video transmission, but the frequency spectrum in other wireless broadcast and communication is not utilized efficiently, example in Television broadcast band, some of frequency spectrum is vacant at some instant or for particular time. The vacant spectrum could be used in cellular communication, means the spectrum is borrowed from Television Broadcast band to be used for cellular communication. A borrow/use of spectrum from other licensed frequency bands will improve the efficiency of spectrum use. In this paper, aspects of Cognitive Radio and comparison of different sensing techniques and methods are discussed. Secondly, the layer architecture of Cognitive Radio is presented. Thirdly, hardware and software platforms are discussed for Cognitive Radio testing.

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“…In terms of architecture, the most common architectural categorisation described in the literature classifies CRN as either centralised (infrastructure based), distributed (ad hoc based) or mesh architectures [7][8][9][10]. Another important description of the primary-secondary network architecture in CRN is based on the interference agreements between the two networks.…”

Section: Introductionmentioning

confidence: 99%

Solving resource allocation problems in cognitive radio networks: a survey

Awoyemi

Maharaj

Alfa

2016

J Wireless Com Network

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Cognitive radio networks (CRN), in their quest to become the preferred next-generation wireless communication paradigm, will depend heavily on their ability to efficiently manage the limited resources at their disposal in meeting the demands of their numerous users and driving their operations. As a result, a considerable amount of research work has been recently dedicated to investigating and developing resource allocation (RA) models that capture the essentials of CRN. The various ideas put forward by researchers to address RA problems in CRN have been somewhat diverse, and somehow, there seem to be no links that bring cohesion and clarity of purpose and ideas. To address this problem and bridge the gap, in this paper, a comprehensive study on the prevalent techniques developed for addressing RA problems in CRN is carried out, with an intent to put some structure, relevance and meaning to the various solution approaches. The solution models are therefore grouped and/or classified based on certain outstanding criteria, and their strengths and weaknesses highlighted. Open-ended problems are identified, and suggestions for improving solution models are given. The study therefore gives good directions for further investigations on developing RA solutions in CRN.

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Cognitive radio network architecture

Cited by 63 publications

References 19 publications

A Survey onadvances in security threats and its counter measures in cognitive radio networks

A Survey onadvances in security threats and its counter measures in cognitive radio networks

Cognitive Radio New Dimension in Wireless Communication State of Art

Solving resource allocation problems in cognitive radio networks: a survey

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