A novel wideband spectrum sensing algorithm for cognitive radio networks based on DOA estimation model

Mahram, Amir; Shayesteh, Mahrokh G.; Kordan, Saeid Balaneshin

doi:10.1109/istel.2012.6483012

Cited by 5 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The basic principle is that if the SU has a knowledge of the azimuth angle of the PUs, then when the PU transmits in a certain direction, the SU can simultaneously transmit in another direction, over the same band and geographical area. DOA-based Spectrum sensing is investigated for SB-CR in [59], and it is extended for MB-CR in [60]. DOA-based sensing can estimate the location of the occupied subbands by estimating the PU signals' direction of arrival.…”

Section: F Angle-based Sensingmentioning

confidence: 99%

Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks

2014

View full text Add to dashboard Cite

Abstract-Cognitive radio has been widely considered as one of the prominent solutions to tackle the spectrum scarcity. While the majority of existing research has focused on single-band cognitive radio, multiband cognitive radio represents great promises towards implementing efficient cognitive networks compared to single-based networks. Multiband cognitive radio networks (MB-CRNs) are expected to significantly enhance the network's throughput and provide better channel maintenance by reducing handoff frequency. Nevertheless, the wideband front-end and the multiband spectrum access impose a number of challenges yet to overcome. This paper provides an in-depth analysis on the recent advancements in multiband spectrum sensing techniques, their limitations, and possible future directions to improve them. We study cooperative communications for MB-CRNs to tackle a fundamental limit on diversity and sampling. We also investigate several limits and tradeoffs of various design parameters for MBCRNs. In addition, we explore the key MB-CRNs performance metrics that differ from the conventional metrics used for singleband based networks.

show abstract

Section: F Angle-based Sensingmentioning

confidence: 99%

Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks

2014

View full text Add to dashboard Cite

show abstract

“…Mahram et al [18] have proposed an SS scheme based on direction-of-arrival estimation. They have examined the MUSIC-like algorithm using the fourth-order cumulants matrix of the received signal.…”

mentioning

confidence: 99%

Sensing UHF-TV Spectrum for Narrowband Cognitive Radios in a Malicious Presence

Clement

Emmanuel

2016

Can. J. Electr. Comput. Eng.

View full text Add to dashboard Cite

In this paper, we propose a robust spectrum sensing (SS) technique for cognitive radio receivers (CRRs) when a malicious CR user (MCRU) coexists in the network. The primary users (PUs) that we consider are the television (TV) broadcasters, who operate in an ultrahigh-frequency (UHF) band. Using multiple antennas of CRR, as a first step, we locate a narrower subband-within an UHF-TV range-at which the interference due to MCRU is least. Then, SS is implemented only at the chosen band, so that the detection of PU is not affected by the presence of MCRU. The finding of the apt band for SS is implemented through a table, which needs to know only the angle of arrival of signal from MCRU. We have shown the technique to estimate this angle of arrival as well. The simulation results show that the proposed method does not compromise the detection performance, unlike the energy detection scheme, which compromises severely when MCRU coexists. Résumé-Dans cet article, nous proposons une technique de détection de spectre (DS) robuste pour les récepteurs radio cognitive (RRCs) quand un utilisateur malveillant RC (UMRC) coexiste dans le réseau. Les principaux utilisateurs (PUs) que nous considérons sont les chaînes de télévision (TV), qui opèrent dans une bande ultra-haute fréquence (UHF). Utilisant plusieurs antennes de RRC, comme une première étape, nous localisons une sous-bande étroite-dans une gamme TV-UHF-à laquelle l'interférence due aux UMRC estmoindre. Ensuite, la DS est réalisée uniquement à la bande choisie, de sorte que la détection du PU ne soit pas affectée par la présence de l'UMRC. La détection de la bande apte pour la DS est réalisée à travers une lookup table, qui n'a besoin de savoir que l'angle d'arrivée du signal de l'UMRC. De même, nous avons montré la technique pour estimer cet angle d'arrivée. Les résultats de simulation montrent que la méthode proposée ne compromet pas la performance de détection, contrairement à la méthode de détection de l'énergie, qui compromet gravement lorsque l'UMRC coexiste.Index Terms-Cognitive radio (CR), malicious cognitive radio user (MCRU), spectrum sensing (SS).

show abstract

“…Spectrum sensing based on the information of propagation angle is called angle spectrum sensing. Due to the deployment of multiple input multiple output (MIMO) and beamforming systems, there could be a place where SU can use the same frequency band as PU if the frequency band used by the SU does not cross the propagation angle of the PU [40]. The concept of angle spectrum sensing is beneficial in terms of energy saving as the spectrum bands can be used by both PU and SU simultaneously.…”

Section: Other Detectorsmentioning

confidence: 99%

“…The normalization by 1 1−P(H 0 ) in (38) and (40) are a result of each probability being conditioned to the event that there is an empty band.…”

Section: Single Empty Band Detection Performance Frameworkmentioning

confidence: 99%

A Framework to Analyze Energy Efficiency of Multi-Band Spectrum Sensing Algorithms

Patel¹

View full text Add to dashboard Cite

A FRAMEWORK TO ANALYZE ENERGY EFFICIENCY OF MULTI-BAND SPECTRUM SENSING ALGORITHMS by Jay B. Patel Cognitive radio (CR) is a device which can detect wireless communication channels that are not in use and adapt its parameters intelligently. Networks with CRs use the available frequency bands much more efficiently and hence have higher data rates compare to traditional radios. Spectrum sensing is the class of techniques used by CRs to understand its wireless environment. Recent research on evaluating multi-band spectrum sensing algorithms is limited to only algorithm complexity and optimization; therefore, the primary goal of the study is to devise a novel framework that analyzes a multi-band spectrum sensing algorithm in terms of energy consumption and algorithm efficiency. The proposed structure leads to a comparison and evaluation of a large class of multi-band spectrum sensing algorithms. Multi-band spectrum sensing search methods such as linear, random and binary are evaluated for energy loss and detection performance using the proposed framework. ACKNOWLEDGMENTS I want to thank my advisor, Dr. Birsen Sirkeci, for her outstanding support, dedication, and patience throughout the research.

show abstract

A novel wideband spectrum sensing algorithm for cognitive radio networks based on DOA estimation model

Cited by 5 publications

References 17 publications

Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks

Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks

Sensing UHF-TV Spectrum for Narrowband Cognitive Radios in a Malicious Presence

A Framework to Analyze Energy Efficiency of Multi-Band Spectrum Sensing Algorithms

Contact Info

Product

Resources

About