Spectrum Sensing For Cognitive Radio
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Spectrum Sensing For Cognitive Radio
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Author : Kamal M. Captain
language : en
Publisher: CRC Press
Release Date : 2021-12-30
Spectrum Sensing For Cognitive Radio written by Kamal M. Captain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-30 with Technology & Engineering categories.
This comprehensive reference text discusses concepts of cognitive radio and the advances in the field of spectrum sensing. This text discusses the concept of cognitive radio for next generation wireless communication and a very critical aspect of cognitive radio – that is, spectrum sensing – in detail. It covers important topics including narrowband spectrum sensing, wideband spectrum sensing, cooperative spectrum sensing, system and channel models, detection algorithms, approximation of decision statistics, and theoretical analysis of detection algorithms in detail. Separate chapters are dedicated to discussing the analysis and use of detection algorithms for narrowband spectrum sensing, wideband spectrum sensing, and cooperative wideband spectrum sensing. Aimed at graduate students and academic researchers in the fields of electrical engineering and electronics and communication engineering, this text: Discusses concepts of cognitive radio and research in spectrum sensing. Presents mathematical analysis of algorithms considering practical environment. Explains novel wideband spectrum sensing algorithms with detailed analysis. Provides mathematical derivations to help readers. Discusses basic spectrum sensing algorithms, from narrowband spectrum sensing to the more advanced wideband spectrum sensing.
Performance Of Cooperative Spectrum Sensing In Cognitive Radio Networks
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Author : Chilakala Sudhamani
language : en
Publisher: GRIN Verlag
Release Date : 2020-10-08
Performance Of Cooperative Spectrum Sensing In Cognitive Radio Networks written by Chilakala Sudhamani and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with Technology & Engineering categories.
Doctoral Thesis / Dissertation from the year 2020 in the subject Engineering - Communication Technology, grade: A, , language: English, abstract: Cooperative spectrum sensing technique is used to maximize the utilization of unused licensed spectrum. As the cooperation among the secondary users increases the detection performance increases, which increases the average channel throughput and energy efficiency but it depends on the number of cooperative secondary users, fusion rules, channel conditions and detection threshold. In this thesis average channel throughput, energy consumption and energy efficiency are estimated for variable number of secondary users and detection thresholds using hard fusion rules i.e. AND, OR and MAJORITY fusion rules. From the results it has been observed that the performance of AND fusion rule is better at low detection thresholds and for less number of secondary users. The performance of OR fusion rule is better at high detection thresholds and for large number of secondary users. The performance of MAJORITY fusion rule follows the performance of AND fusion rule at low detection thresholds and it follows the performance of OR fusion rule at high detection thresholds. However as the number of cooperative secondary users increases the energy required for spectrum sensing and reporting sensing results to the fusion center increases, which increases the energy consumption and reduces the energy efficiency. Therefore energy efficiency can be improved by maximizing the average channel throughput or by minimizing the energy consumption. To minimize the energy consumption in cooperative spectrum sensing, optimization technique has been proposed in this thesis and it is used for further improvement of energy efficiency. With this optimization technique, optimal number of cooperative secondary users are derived by maximizing the energy efficiency using AND and OR fusion rules but not with MAJORITY fusion rule. Because it is very difficult to estimate the optimal number of cooperative secondary users using MAJORITY fusion rule, so optimization of final decision threshold was proposed in the existing methods to maximize the energy efficiency using MAJORITY fusion rule. Therefore AND and OR fusion rules are used in this work to optimize the number of cooperative secondary users.
Spectrum Sensing In Cognitive Radio Networks
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Author : Simin Bokharaiee Najafee
language : en
Publisher:
Release Date : 2011
Spectrum Sensing In Cognitive Radio Networks written by Simin Bokharaiee Najafee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Given the ever-growing demand for radio spectrum, cognitive radio has recently emerged as an attractive wireless communication technology. This dissertation is concerned with developing spectrum sensing algorithms in cognitive radio networks where a single or multiple cognitive radios (CRs) assist in detecting licensed primary bands employed by single or multiple primary users. First, given that orthogonal frequency-division multiplexing (OFDM) is an important wideband transmission technique, detection of OFDM signals in low-signal-to-noise-ratio scenario is studied. It is shown that the cyclic prefix correlation coefficient (CPCC)-based spectrum sensing algorithm, which was previously introduced as a simple and computationally efficient spectrum-sensing method for OFDM signals, is a special case of the constrained generalized likelihood ratio test (GLRT) in the absence of multipath. The performance of the CPCC-based algorithm degrades in a multipath scenario. However when OFDM is implemented, by employing the inherent structure of OFDM signals and exploiting multipath correlation in the GLRT algorithm a simple and low-complexity algorithm called the multipath-based constrained-GLRT (MP-based C-GLRT) algorithm is obtained. Further performance improvement is achieved by combining both the CPCC- and MP-based C-GLRT algorithms. A simple GLRT-based detection algorithm is also developed for unsynchronized OFDM signals. In the next part of the dissertation, a cognitive radio network model with multiple CRs is considered in order to investigate the benefit of collaboration and diversity in improving the overall sensing performance. Specially, the problem of decision fusion for cooperative spectrum sensing is studied when fading channels are present between the CRs and the fusion center (FC). Noncoherent transmission schemes with on-off keying (OOK) and binary frequency-shift keying (BFSK) are employed to transmit the binary decisions to the FC. The aim is to maximize the achievable secondary throughput of the CR network. Finally, in order to reduce the required transmission bandwidth in the reporting phase of the CRs in a cooperative sensing scheme, the last part of the dissertation examines nonorthogonal transmission of local decisions by means of on-off keying. Proposed and analyzed is a novel decoding-based fusion rule for combining the hard decisions in a linear manner.
Cooperative Spectrum Sensing And Resource Allocation Strategies In Cognitive Radio Networks
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Author : Xavier Fernando
language : en
Publisher: Springer
Release Date : 2018-05-22
Cooperative Spectrum Sensing And Resource Allocation Strategies In Cognitive Radio Networks written by Xavier Fernando and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-22 with Technology & Engineering categories.
Cognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described. New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed. Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN. A comprehensive overview of the optimization strategies of the CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry.
Cognitive Radio Techniques
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Author : Kandeepan Sithamparanathan
language : en
Publisher: Artech House
Release Date : 2012
Cognitive Radio Techniques written by Kandeepan Sithamparanathan and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Social Science categories.
Providing an in-depth treatment of the core enablers of cognitive radio technology, this unique book places emphasis on critical areas that have not been sufficiently covered in existing literature. You find expert guidance in the key enablers with respect to communications and signal processing. The book presents fundamentals, basic solutions, detailed discussions of important enabler issues, and advanced algorithms to save you time with your projects in the field. For the first time in any book, you find an adequately detailed treatment of spectrum sensing that covers nearly every aspect of the subject. Moreover, this valuable resource provides you with thorough working knowledge of localization and interference mitigation as enablers of cognitive radio technology. The book includes all the necessary mathematics, statistical and probabilistic treatments, and performance analysis to give you a comprehensive understanding of the material.
Spectrum Sharing In Cognitive Radio Networks
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Author : Shweta Pandit
language : en
Publisher: Springer
Release Date : 2017-04-12
Spectrum Sharing In Cognitive Radio Networks written by Shweta Pandit and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-12 with Technology & Engineering categories.
This book discusses the use of the spectrum sharing techniques in cognitive radio technology, in order to address the problem of spectrum scarcity for future wireless communications. The authors describe a cognitive radio medium access control (MAC) protocol, with which throughput maximization has been achieved. The discussion also includes use of this MAC protocol for imperfect sensing scenarios and its effect on the performance of cognitive radio systems. The authors also discuss how energy efficiency has been maximized in this system, by applying a simple algorithm for optimizing the transmit power of the cognitive user. The study about the channel fading in the cognitive user and licensed user and power adaption policy in this scenario under peak transmit power and interference power constraint is also present in this book.
Spectrum Sensing In Cognitive Radio Networks
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Author : Waleed Ejaz
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2011-04
Spectrum Sensing In Cognitive Radio Networks written by Waleed Ejaz and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04 with categories.
Recent research shows that 70% of the available spectrum is not utilized efficiently. The bandwidth gets expensive owing to shortage of frequencies. For efficient utilization of spectrum, we need to sniff the spectrum to determine whether it is used by primary user or not. The term cognitive radio refers to the adoption of radio parameters using the sensed information of the spectrum. There are three major categories of spectrum sensing techniques; transmitter detection, receiver detection and interference temperature detection. This book presents a survey of techniques suggested in the literature for spectrum sensing with a performance analysis of transmitter-based detection techniques. A Fuzzy logic based technique for primary user detection has also been proposed. In comparison with transmitter detection techniques purposed technique provides good results under low SNR values.
Spectrum Sensing In Cognitive Radio
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Author : Andreas Bollig
language : en
Publisher:
Release Date : 2016*
Spectrum Sensing In Cognitive Radio written by Andreas Bollig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016* with categories.
Cognitive Radio Networks Optimization With Spectrum Sensing Algorithms
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Author : Tanuja S. Dhope
language : en
Publisher: River Publishers
Release Date : 2015-11-30
Cognitive Radio Networks Optimization With Spectrum Sensing Algorithms written by Tanuja S. Dhope and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-30 with Technology & Engineering categories.
In recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the efficient utilization of the available spectrum under the various propagation models which lead towards the design and dimensioning of the future network Internet of Things (IoT). This book focuses on Television White Space (TVWS) opportunities and regulatory aspects for cognitive radio applications, and includes case studies for the exploitation of TVWS depending on user's mobility, and the geo-location between user and the Base Station. The book presents recent advances in spectrum sensing, reflecting state of the art technology and research achievements in this area as well as a new insights in spectrum sensing of performance modeling, analysis and worldwide applications. Technical topics discussed include: Novel Application of TV White SpaceSpectrum Sensing in Cognitive RadioCooperative Spectrum SensingDoA Estimation Algorithms
Space Time Spectrum Sensing For Cognitive Radio
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Author : Mohamad, Usama Yusuf
language : en
Publisher: kassel university press GmbH
Release Date : 2020-01-20
Space Time Spectrum Sensing For Cognitive Radio written by Mohamad, Usama Yusuf and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-20 with Technology & Engineering categories.
A cognitive radio (CR) system offers a more efficient spectrum utilization as compared to conventional wireless transmission systems. In particular, in a so-called interweave CR scenario, spectrum sensing is a crucial component responsible for acquiring information about the existence and strength of a primary user (PU) signal, since the subsequent spectral access depends on that information. A wide range of spectrum sensing techniques has been proposed to suit various requirements and system scenarios. These techniques differ in many respects like e. g. the computational complexity, the required observation frame length as well as the resulting sensing performance. Spectrum sensing in different scenarios and under various models is investigated in this thesis. Here, both temporal and spatial correlations of the received signals are considered for designing space-time sensing algorithms.