NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey

Akyildiz, Ian F.; Lee, Won-Yeol; Vuran, Mehmet C.; Mohanty, S.

doi:10.1016/j.comnet.2006.05.001

Cited by 5,558 publications

(3,314 citation statements)

References 42 publications

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“…All methods deal with application of IBC in MANET have been investigated in [12]. 1 Certificate Authority 2 Identity-based cryptography…”

Section: (T N) Threshold and Identity-based Key Managementmentioning

confidence: 99%

“…Many factors in practice such as multipath fading, shadowing, and the receiver uncertainty problem [1] may significantly compromise the detection performance in spectrum sensing. However, due to spatial diversity, it is unlikely for all spatially distributed CR users in a CR network to concurrently experience the fading or receiver uncertainty problem.…”

Section: A Cooperative Spectrum Sensingmentioning

confidence: 99%

“…Cognitive radio (CR) networks can be classified as the infrastructure-based CR network and the CRAHNs [1]. Since CRAHNs has no infrastructure, a CR user can communicate with other CR users through ad hoc connection on both licensed and unlicensed spectrum bands.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Secure Cognitive Radio Ad-Hoc Network with the Capability of SSDF Attack Detection

Saboor¹,

Payandeh²,

Rohi³

2013

IJFCC

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Abstract-In this article, we made an attempt to clarify it that the inadequacy problem of required spectrum for the exchanges presented in MANET can be solved by means of the Cognitive radio network since it has the sensing potentiality of their surrounding environment and can access to a supplementary frequency band via their parameters comparison. Key management and authentication are two important factors in MANET security. The recent development in Identity-based cryptography has made this method a potential candidate for MANET. However the security in CR-MANET has attracted less attention in comparison with other regions. The authors try to propose an Identity-based cryptography with threshold secret sharing which has been designed for MANET security especially; this method will result in the elimination of SSDF attack trouble in Cognitive radio Ad-Hoc Networks, where the intruder sends wrong results of local spectrum sensing and leads to a wrong spectrum sensing determination in cognitive radios consequently. Following cooperative spectrum sensing scheme, it can find out SSDF attack occurrence, limit intruders' access to t neighbor nodes for the key updating or delete the intruder nodes from the network.Index Terms-Cognitive radio, IBC, MANET, SSDF attack.

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“…All methods deal with application of IBC in MANET have been investigated in [12]. 1 Certificate Authority 2 Identity-based cryptography…”

Section: (T N) Threshold and Identity-based Key Managementmentioning

confidence: 99%

Section: A Cooperative Spectrum Sensingmentioning

confidence: 99%

See 1 more Smart Citation

A Secure Cognitive Radio Ad-Hoc Network with the Capability of SSDF Attack Detection

Saboor¹,

Payandeh²,

Rohi³

2013

IJFCC

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“…The concept was firstly proposed by Mitola (1999), in which the radio is envisioned with the intelligence to exploit ambient environment for user-centric communications. Since regulation authorities, e.g., Federal Communications Commission (FCC) in the USA, have recognised the inefficiency of legacy static spectrum allocation, dynamic spectrum access (Akyildiz et al, 2006;Haykin, 2006) has captured the most research attention. Existing knowledge in cognitive-radio networking still remains at a preliminary stage.…”

Section: Related Workmentioning

confidence: 99%

Cognitive networking of large scale wireless systems

Song

Hatzinakos²

2009

IJCNDS

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Abstract:We propose the concept of cognitive networking for large-scale wireless systems, which opportunistically utilises network resources including both spectrum bandwidth and radio availability. Both types of resources cannot be predetermined in large-scale wireless systems, due to various reasons such as interferences and dynamic traffic load. The proposed technology not only establishes dynamic wireless networks, but also provides for reliable network quality of services (QoS). The supporting network architecture, embedded wireless interconnect (EWI), is proposed to implement the cognitive networking concept and supply an effective application-programming interface for large-scale data management systems. Two example applications are presented, including wireless mesh networks for broadband wireless internet access and wireless sensor networks for target tracking. Major advantages of the technology are further discussed. We suggest that the performance of the proposed system would improve with larger network scale and the implementation complexity could be independent of the network scale.

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“…A possible solution, introduced by Mitola [3,4], is represented by cognitive networks, that can be thought of as self-learning, adaptive and intelligent networks. In cognitive networks, unlicensed (secondary) systems improve spectral efficiency by sensing the environment and filling opportunistically the discovered holes spectrum (or white spaces) of licensed systems (primary), which have exclusive right to operate in a certain spectrum band [5]. The current development of microelectronics allows us to suppose that these wireless systems, for which the spectrum utilization will play a key role, will be realized in the near future.…”

Section: Introductionmentioning

confidence: 99%

Non-commutative large entries for cognitive radio applications

Masucci

Debbah

2012

J Wireless Com Network

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Cognitive radio has been proposed as a solution for the problem of underutilization of the radio spectrum. Indeed, measurements have shown that large portions of frequency bands are not efficiently assigned since large pieces of bandwidth are unused or only partially used. In the last decade, studies in different areas, such as signal processing, random matrix theory, information theory, game theory, etc., have brought us to the current state of cognitive radio research. These theoretical advancements represents a solid base for practical applications and even further developments. However, still open questions need to be answered. In this study, free probability theory, through the free deconvolution technique, is used to attack the huge problem of retrieving useful information from the network with a finite number of observations. Free deconvolution, based on the moments method, has shown to be a helpful approach to this problem. After giving the general idea of free deconvolution for known models, we show how the moments method works in the case where scalar random variables are considered. Since, in general, we have a situation where more complex systems are involved, the parameters of interest are no longer scalar random variables but random vectors and random matrices. Random matrices are non-commutative operators with respect to the matrix product and they can be considered elements of what is called noncommutative probability space.Therefore, we focus on the case where random matrices are considered. Concepts from combinatorics, such as crossing and non-crossing partitions are useful tools to express the moments of Gaussian and Vandermonde matrices, respectively. Our analysis and simulation results show that free deconvolution framework can be used for studying relevant information in cognitive radio such as power detection, users detection, etc.

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NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey

Cited by 5,558 publications

References 42 publications

A Secure Cognitive Radio Ad-Hoc Network with the Capability of SSDF Attack Detection

A Secure Cognitive Radio Ad-Hoc Network with the Capability of SSDF Attack Detection

Cognitive networking of large scale wireless systems

Non-commutative large entries for cognitive radio applications

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