Robust Algorithm against Spectrum Sensing Data Falsification Attack in Cognitive Radio Networks

Althunibat, Saud; Renzo, Marco Di; Granelli, Fabrizio

doi:10.1109/vtcspring.2014.7023078

Cited by 20 publications

(14 citation statements)

References 9 publications

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“…Now existing methods against spectrum sensing data falsification are mainly based on decision fusion, but the free deconvolution‐based method proposed in this paper is based on data fusion. Many quite effective methods cannot be used directly in this case. So in the future work, we will further study the free deconvolution‐based method aiming at high detection accuracy and energy efficiency of cognitive radio networks under data falsification attack.…”

Section: Discussionmentioning

confidence: 99%

Robust spectrum sensing algorithm based on free probability theory

Wang

Chen

Jiang

et al. 2015

Wireless Communications

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In low signal-to-noise ratio (SNR) cases, the performance of spectrum sensing algorithms cannot meet the practical needs, which is a major problem faced by spectrum sensing technology in current cognitive radio field. Now, existing algorithms based on random matrix theory (RMT) have high sensing performance, but they require a large number of samples, which are very difficult to satisfy in practice. Free probability theory (FPT) is a main branch of RMT. It describes the asymptotic behavior of large random matrices and portrays a strong link between two matrices and their sum or product matrices. FPT can also be utilized to the digital communication system that can be modeled by random matrices and has been applied to spectrum sensing in simplified ideal channels, for example, additive white Gaussian noise channel. The most pivotal issue and difficulty of the FPT-based methods is to set up and solve the asymptotic freeness equation corresponding to a specific communication model. In this paper, FPT-based spectrum sensing schemes are proposed for some typical wireless communication systems, such as multiple-input multiple-output system, Rayleigh multipath fading system, and orthogonal frequency division multiplexing system. It is shown that the asymptotic freeness behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for these typical systems with low SNR and very limited samples. Simulation results demonstrate that compared with the existing RMT-based spectrum detection methods, for example, the maximum and minimum eigenvalue detectors, the proposed FPT-based schemes offer superior detection performance and are more robust to low SNR cases, especially for a small sample of observations. Robust spectrum sensing algorithm based on free probability theory L. Wang et al. Free probability theory (FPT) [27-31] is a valuable toolfor describing the asymptotic behavior of random matrices. It has grown into a main branch of RMT through the pioneering work of Voiculescu in the 1980s [32,33]. FPT portrays a strong link between two matrices and their sum matrix or product matrix, which is completely different from other branches of RMT. For the purpose of spectrum sensing, it can separate the eigenvalues of real signal matrix from that of the received sample covariance matrix, which includes both signal and noise matrices. This is almost impossible in traditional mathematics. The most pivotal issue of the FPT-based methods is to set up and solve the asymptotic freeness equation corresponding to a specific communication model. In some simplified communication environment, FPT has been managed to utilize in the field of spectrum sensing [34,35]. However, for some typical wireless communication scenarios, such as multiple-input multiple-output (MIMO) Rayleigh channels, MIMO multipath channels, and MIMO-orthogonal frequency division multiplexing (OFDM) channels, it needs to be further studied.

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Section: Discussionmentioning

confidence: 99%

Robust spectrum sensing algorithm based on free probability theory

Wang

Chen

Jiang

et al. 2015

Wireless Communications

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“…With regard to security, a well-documented problem in cooperative spectrum sensing is spectrum sensing data falsification (SSDF). SSDF occurs when an RRS user falsifies spectrum sensing results, degrading the accuracy of spectrum usage detection and, consequently, increasing the risk of interference between incumbents and new users (Althunibat et al, 2014). In terms of privacy issues, cooperative spectrum sensing may compromise secondary users' location privacy because sharing spectrum sensing results reveal information on users' location (Zina, Hasna, Hamila & Hamdi, 2016;Grissa et al, 2016).…”

Section: Static Versus Dynamic Databasementioning

confidence: 99%

Next generation of radio spectrum management: Licensed shared access for 5G

Massaro

2017

Telecommunications Policy

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Deployment of 5th generation (5G) mobile communication technology is setting the stage for the next generation of radio spectrum management. New spectrum sharing arrangements have been identified as effective ways to satisfy emerging connectivity needs. In particular, the so-called Licensed Shared Access (LSA) regime has been given prominence in the European Union (EU) to facilitate access to additional spectrum necessary to meet the exponential growth of mobile data traffic. Under the LSA regime, already occupied, but underutilised spectrum would be shared, on a licensed-basis, between incumbents and mobile operators, under agreed frequency, location and time sharing conditions. A similar system has been proposed in the United States (US), called Spectrum Access System (SAS).In this context, the purpose of this paper is two-fold: firstly, to assess the novelty of the LSA regime with respect to existing spectrum sharing arrangements in the EU and, secondly, to identify the main differences between the LSA and the SAS regimes. Policy documents, academic papers, position papers and analysis reports are scrutinised to gather information on technical and regulatory aspects of existing and emerging spectrum sharing regimes.This paper concludes that the novelty of the LSA regime is found in the possibility for mobile operators to access additional spectrum below 6 GHz (GHz) with the regulatory certainty required to invest in 5G. Implementing other spectrum sharing regimes to access sub-6 GHz spectrum would not guarantee mobile operators protection from harmful interference and predictable Quality of Service (QoS).The comparison between the LSA and the SAS approaches suggests that the LSA regime can be implemented quicker and with less effort than the SAS regime, because of its lower level of technical complexity. Nevertheless, the LSA regime is expected to be overtaken by the SAS regime in the long term, as technology advances. The SAS regime would allow more users to coexist in the same spectrum bands thanks to spectrum sensing techniques.

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“…The approaches of this component are concerning accessing the selected bands and adapting transmission parameters accordingly [153]. Therefore, the findings of QoS approaches in this Byzantine attack in [44,[168][169][170][171][172]; and (g) Internetwork spectrum sharing frameworks that manage spectrum bands sharing among overlapping CRNs. Based on the concept of spectrum pooling, the majority of the proposed frameworks consider cost-benefit trade-off (cost = payment to PN, and benefit = achieved spectrum band for CRN) as in [134][135][136][137][138], or by resource allocation for overlapped WRANs [173][174][175][176][177].…”

Section: Spectrum Sharingmentioning

confidence: 99%

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

Fakhrudeen

Alani

2017

Int J Wireless Inf Networks

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Much interest in Cognitive Radio Networks (CRNs) has been raised recently by enabling unlicensed (secondary) users to utilize the unused portions of the licensed spectrum. CRN utilization of residual spectrum bands of Primary (licensed) Networks (PNs) must avoid harmful interference to the users of PNs and other overlapping CRNs. The coexisting of CRNs depends on four components: Spectrum Sensing, Spectrum Decision, Spectrum Sharing, and Spectrum Mobility. Various approaches have been proposed to improve Quality of Service (QoS) provisioning in CRNs within fluctuating spectrum availability. However, CRN implementation poses many technical challenges due to sporadic usage of licensed spectrum bands, which will be increased after deploying CRNs. Unlike traditional surveys of CRNs, this paper addresses QoS provisioning approaches of CRN components and provides an up-to-date comprehensive survey of recent improvement in these approaches. Major features of the open research challenges of each approach are investigated. Due to the extensive nature of the topic, this paper is the first part of the survey which investigates QoS approaches on spectrum sensing and decision components respectively. The remaining approaches of spectrum sharing and mobility components will be investigated in the next part.

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Robust Algorithm against Spectrum Sensing Data Falsification Attack in Cognitive Radio Networks

Cited by 20 publications

References 9 publications

Robust spectrum sensing algorithm based on free probability theory

Robust spectrum sensing algorithm based on free probability theory

Next generation of radio spectrum management: Licensed shared access for 5G

Comprehensive Survey on Quality of Service Provisioning Approaches in Cognitive Radio Networks: Part One

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