| Description |
1 online resource (xxii, 490 pages) : illustrations |
| Series |
Chapman & Hall/CRC computer and information science series |
|
Chapman & Hall/CRC computer and information science series.
|
| Contents |
Cover; Half title; Series Title; Title Page; Copyright Page; Contents; Preface; Acknowledgments; Reviewers; Editors; Contributors; Part I: Cognitive Radio Networks; Chapter 1: Cognitive Radio with Spectrum Sensing for Future Networks; 1.1 Introduction and Background; 1.2 Cognitive Radio Technology; 1.2.1 Cognitive Radio Definition; 1.3 Cognitive Radio Functions and Cycle; 1.4 Cognitive Radio Challenges; 1.4.1 Spectrum Sensing and White Space Determination: The Challenges |
|
1.4.2 The Impact of Sensing Operations on the QoS of Applications; 1.4.3 Spectrum Management Challenges; 1.4.4 Spectrum Mobility Challenges; 1.4.5 Spectrum Sharing Challenges; 1.4.6 Other CR System Challenges; 1.5 Sensing Methods; 1.5.1 No Prior Information Required (Blind Sensing); 1.5.1.1 Energy Detection; 1.5.1.2 Covariance-Based Detection; 1.5.1.3 Based on Prior Information; 1.5.1.4 Cyclostationary Feature Detection; 1.5.1.5 Correlation Detection; 1.5.1.6 Radio Identification-Based Sensing; 1.5.1.7 Matched Filtering |
|
1.5.1.8 Based on SU Cooperation; 1.6 Factors Affecting the Selection of a Proper Sensing Method; 1.6.1 CR Device Capability; 1.6.2 QoS Required for Applications Running on the CR Device; 1.6.3 A Priori Information; 1.6.4 Level of Protection Required for the PU; 1.6.5 CR Network Mode and Capability; 1.7 CR Standardization Efforts with Sensing Consideration; 1.8 Spectrum Sensing Implementation Issues in White-Fi Networks; 1.8.1 Distinguishing a PU Transmission from SU Transmissions; 1.8.2 Distinguishing White-Fi SUs from Other SUs |
|
1.8.2.1 Pure White-Fi SUs; 1.8.2.2 Heterogeneous SUs; 1.8.3 Complications of Operational Adjustments; 1.8.4 QoS Degradation; 1.8.5 Selecting the Proper Sensing Method and Parameters; 1.9 Conclusion; References; Chapter 2: Cognitive Radio and Spectrum Sensing; 2.1 Introduction; 2.2 Software-Defined Radio; 2.3 Cognitive Radio; 2.4 Spectrum-Sensing Theory; 2.4.1 Spectrum Analysis; 2.4.1.1 Periodogram; 2.4.1.2 Uniform DFT Polyphase Filter Banks; 2.4.1.3 Multitaper; 2.4.1.4 Cyclic Spectrum |
|
2.4.1.5 Eigenvalues of the Covariance Matrix; 2.4.2 Signal Detection; 2.4.3 Noise Model; 2.5 Method Performance Analysis; 2.6 Spatial Spectrum Sensing; 2.7 Conclusion; References; Chapter 3: Machine Learning Techniques for Wideband Spectrum Sensing in Cognitive Radio Networks; 3.1 Introduction; 3.1.1 Software-Defined Radio; 3.1.2 Cognitive Radio; 3.1.3 Chapter Organization; 3.2 Classical Spectrum-Sensing Techniques; 3.2.1 Energy-Based Sensing; 3.2.2 Matched Filter-Based Sensing; 3.2.3 Waveform-Based Sensing |
| Summary |
"With the ubiquitous diffusion of the IoT, Cloud Computing, 5G and other evolved wireless technologies into our daily lives, the world will see the Internet of the future expand ever more quickly. Driving the progress of communications and connectivity are mobile and wireless technologies, including traditional WLANs technologies and low, ultra-power, short and long-range technologies. These technologies facilitate the communication among the growing number of connected devices, leading to the generation of huge volumes of data. Processing and analysis of such "big data" brings about many opportunities, as well as many challenges, such as those relating to efficient power consumptions, security, privacy, management, and quality of service. This book is about the technologies, opportunities and challenges that can drive and shape the networks of the future. Written by established international researchers and experts, Networks of the Future answers fundamental and pressing research challenges in the field, including architectural shifts, concepts, mitigation solutions and techniques, and key technologies in the areas of networking. The book starts with a discussion on Cognitive Radio (CR) technologies as promising solutions for improving spectrum utilization, and also highlights the advances in CR spectrum sensing techniques and resource management methods. The second part of the book presents the latest developments and research in the areas of 5G technologies and Software Defined Networks (SDN). Solutions to the most pressing challenges facing the adoption of 5G technologies are also covered, and the new paradigm known as Fog Computing is examined in the context of 5G networks. The focus next shifts to efficient solutions for future heterogeneous networks. It consists of a collection of chapters that discuss self-healing solutions, dealing with Network Virtualization, QoS in heterogeneous networks, and energy efficient techniques for Passive Optical Networks sand Wireless Sensor Networks. Finally, the areas of IoT and Big Data are discussed, including the latest developments and future perspectives of Big Data and the IoT paradigms."--Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed October 25, 2017) |
| Subject |
Computer networks -- Forecasting
|
|
Computer networks -- Technological innovations
|
|
TECHNOLOGY & ENGINEERING -- Mobile & Wireless Communications.
|
|
COMPUTERS -- Networking -- General.
|
|
COMPUTERS -- Computer Literacy.
|
|
COMPUTERS -- Computer Science.
|
|
COMPUTERS -- Data Processing.
|
|
COMPUTERS -- Hardware -- General.
|
|
COMPUTERS -- Information Technology.
|
|
COMPUTERS -- Machine Theory.
|
|
COMPUTERS -- Reference.
|
|
Computer networks -- Forecasting
|
|
Computer networks -- Technological innovations
|
| Form |
Electronic book
|
| Author |
Elkhodr, Mahmoud, editor.
|
|
Hassan, Qusay F., 1982- editor.
|
|
Shahrestani, Seyed, editor.
|
| ISBN |
9781315155517 |
|
1315155516 |
|
9781498783989 |
|
1498783988 |
|
9781351651561 |
|
1351651560 |
|
