Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios

Sun, Hongjian; Chiu, Wei‐Yu; Nallanathan, Arumugam

doi:10.1109/lcomm.2012.092812.121648

Cited by 65 publications

(36 citation statements)

References 11 publications

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“…In [119], an adaptive SS algorithm, which can adaptively adjust compressed measurements without any sparsity estimation efforts, has been studied. Consequently, the wideband signals are acquired block-by-block from multiple mini-time slots, and gradually reconstruct the wideband spectrum using compressed samples until the spectral recovery is satisfactory.…”

Section: Wideband Spectrum Sensingmentioning

confidence: 99%

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

Sharma

Lagunas

Chatzinotas

et al. 2016

IEEE Commun. Surv. Tutorials

197

106

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Abstract-Compressive Sensing (CS) has received much attention in several fields such as digital image processing, wireless channel estimation, radar imaging, and Cognitive Radio (CR) communications. Out of these areas, this survey paper focuses on the application of CS in CR communications. Due to the underutilization of the allocated radio spectrum, spectrum occupancy is usually sparse in different domains such as time, frequency and space. Such a sparse nature of the spectrum occupancy has inspired the application of CS in CR communications. In this regard, several researchers have already applied the CS theory in various settings considering the sparsity in different domains. In this direction, this survey paper provides a detailed review of the state of the art related to the application of CS in CR communications. Starting with the basic principles and the main features of CS, it provides a classification of the main usage areas based on the radio parameter to be acquired by a wideband CR. Subsequently, we review the existing CSrelated works applied to different categories such as wideband sensing, signal parameter estimation and Radio Environment Map (REM) construction, highlighting the main benefits and the related issues. Furthermore, we present a generalized framework for constructing the REM in compressive settings. Finally, we conclude this survey paper with some suggested open research challenges and future directions.

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Section: Wideband Spectrum Sensingmentioning

confidence: 99%

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

Sharma

Lagunas

Chatzinotas

et al. 2016

IEEE Commun. Surv. Tutorials

197

106

View full text Add to dashboard Cite

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“…Client nodes have to monitor the current band periodically to check PU activities before occupying it for data transmission. This protection shall include both PU transmitters and PU receivers [24]- [26]. PU receivers are particularly important for those applications with unidirectional transmission, such as TV broadcast.…”

Section: Literature Review Of Rpl Routing Protocolmentioning

confidence: 99%

CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

Yang

Ping

Sun

et al. 2017

IEEE Trans. Veh. Technol.

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(2016) 'CRB-RPL : a receiver-based routing protocol for communications in cognitive radio enabled smart grid.', IEEE transactions on vehicular technology., 66 (7). pp. 5985-5994. Further information on publisher's website: Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Zhutian Yang, Member, IEEE, Shuyu Ping, Hongjian Sun, Senior Member, IEEE, and A. Hamid Aghvami, Fellow, IEEE Abstract-As a tool of overcoming radio spectrum shortages in wireless communications, cognitive radio technology plays a vital role in future smart grid applications, particularly in Advanced Metering Infrastructure (AMI) networks with Quality of Service (QoS) requirements. This paper focuses on the investigation of the receiver-based routing protocol for enhancing QoS in cognitive radio-enabled AMI networks, due to their potentials of enhancing reliability and routing efficiency. In accordance with practical requirements of smart grid applications, a new routing protocol with two purposes is proposed: one is to address the realtime requirement while another protocol focuses on how to meet energy efficiency requirements. As a special feature of cognitive radio technology, the protocol have the mechanism of protecting primary (licensed) users whilst meeting the utility requirements of secondary (cognitive radio) users. System-level evaluation shows that the proposed routing protocol can achieve better performances compared with existing routing protocols for cognitive radio-enabled AMI networks.

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“…To improve the probability of false alarm, we shall reduce the number of elements in the set Υ k in (23). This is mainly because the sum term…”

Section: Multi-rate Sub-nyquist Spectrum Sensingmentioning

confidence: 99%

“…Later on, the CSbased approach has attracted much attention [16]- [21] owing to its advantage of using much fewer samples to perform wideband spectrum sensing. In our previous work [23], to save system energy, adaptive CS-based spectrum sensing approach was proposed that could find the best spectral recovery with high confidence. Unfortunately, using CS-based approaches, the spectral recovery requires high computational complexity, leading to a high spectrum sensing overhead that may be a serious issue in CRs with restricted computational resources.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Wideband Spectrum Sensing Over Fading Channels

Sun

Nallanathan

Cui

et al. 2016

IEEE Trans. Veh. Technol.

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Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract-In cognitive radio (CR) systems, it is crucial for secondary users to reliably detect spectral opportunities across a wide frequency range. This paper studies a novel multi-rate subNyquist spectrum sensing (MS 3 ) system capable of performing wideband spectrum sensing in a cooperative CR network over fading channels. The aliasing effects of sub-Nyquist sampling are modelled. To mitigate such effects, different sub-Nyquist sampling rates are applied such that the numbers of samples at different CRs are consecutive prime numbers. Moreover, the performance of MS 3 over fading channels (Rayleigh fading and log-normal fading) is analysed in the form of bounds on the probabilities of detection and false alarm. The key finding is that the wideband spectrum can be sensed using sub-Nyquist sampling rates in MS 3 over fading channels, without the need of spectral recovery. In addition, the aliasing effects can be mitigated by the use of different sub-Nyquist sampling rates in a multi-rate sub-Nyquist sampling system.

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Adaptive Compressive Spectrum Sensing for Wideband Cognitive Radios

Cited by 65 publications

References 11 publications

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

CRB-RPL: A Receiver-Based Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid

Cooperative Wideband Spectrum Sensing Over Fading Channels

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