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Title Cognitive radio and networking for heterogeneous wireless networks : recent advances and visions for the future / Maria-Gabriella Di Benedetto, Andrea F. Cattoni, Jocelyn Fiorina, Faouzi Bader, Luca De Nardis, editors
Published Cham : Springer, [2014]
Online access available from:
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Description 1 online resource (xxv, 405 pages) : illustrations
Series Signals and Communication Technology, 1860-4862
Signals and communication technology.
Contents Foreword; Preface; Acknowledgements; Contents; List of Contributors; 1 New Types of Air Interface Based on Filter Banks for Spectrum Sharing and Coexistence; 1.1 The Concept of Multicarrier Transmission; 1.1.1 Gabor Analysis of Multicarrier Systems; Undersampled Lattice (TF>1); Critically Sampled Lattice (TF=1); Oversampled Lattice (TF<1); 1.1.2 Orthogonal and Biorthogonal Multicarrier Systems; 1.2 Orthogonal Frequency Division Multiplexing (OFDM): Advantages and Drawbacks; 1.3 Filter Bank Based Multicarrier Systems; 1.3.1 Classes of FBMC; FMT; CMT FBMC-OQAM (SMT, Staggered Multitone Boroujofdmvsfbmc)1.3.2 Filter Bank Transceivers; 1.3.3 Equalization Techniques in FBMC; Review of Multiple Taps Equalizers Design; 1.3.4 Polyphase Implementation of Filter Bank for Multicarrier Transmission; Polyphase Representation; Multirate Identities; Polyphase Synthesis Filter Bank; Polyphase Analysis Filter Bank; FBMC Polyphase Structure; 1.3.5 Review of Prototype Filter Design; Rectangular Window Function; The Square Root of Raised Cosine (SRRC) Extended Gaussian Function (EGF) PHYDYAS Prototype Filter; Other Prototype Filters; Transmultiplexer Impulse Response; 1.4 Spectrum Sharing and Coexistence: FBMC Application; 1.5 Conclusion; References; 2 Cognitive Interference Alignment for Spectral Coexistence; 2.1 Introduction; 2.1.1 Notation; 2.2 Interference Alignment (IA) Fundamentals; 2.2.1 Degrees of Freedom (DoF); 2.2.2 IA Principle; 2.2.3 Classification of IA Techniques; 2.3 IA in Cognitive Radio Networks; 2.4 Spectral Coexistence; 2.4.1 Generic System Model; 2.4.2 IA Precoding and Filtering Static Approach2.4.2.2 Uncoordinated Approach; Coordinated Approach; 2.5 Practical Scenarios; 2.5.1 Macrocell-Femtocell Coexistence in Spatial Domain; 2.5.2 Multibeam-Monobeam Satellite Coexistence in Frequency Domain; 2.6 Practical Challenges of IA; 2.7 Chapter Summary; References; 3 Cooperative Spectrum Sensing; 3.1 Introduction; 3.2 Spectrum Sensing Preliminaries; 3.2.1 Spectrum Sensing in AWGN Channel; 3.2.2 Spectrum Sensing in Rayleigh Channel; 3.2.3 Spectrum Sensing in Nakagami-m Fading Channel; 3.3 Cooperation and Fusion Strategies; 3.3.1 Hard Fusion Strategies
3.3.2 Soft Fusion Strategies3.4 Quantization Enhancements; 3.4.1 Incentives for Utilizing Quantization; 3.4.2 Local Quantization; 3.4.3 Fusion Strategies; 3.5 Effects of Imperfect Reporting Channel; 3.6 Optimizing Detector That Uses Quantization; 3.6.1 Threshold Optimization; 3.6.2 Improving Weights and Threshold Optimization; 3.6.3 Results; 3.7 Cooperative Sensing Scheduling; 3.7.1 Introduction; 3.7.2 System Model; Energy Consumption Model; 3.7.3 Problem Formulation; Outer Linearization (OL); A Low Complexity Heuristic Algorithm: Energy Aware Sensing Scheduling (EASE)
Summary Combining expert European opinion from academia and industry, this overview of the latest developments in cognitive radio and networking technology considers a host of topics including air interfaces for spectrum-sharing and the evolving regulatory framework
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed November 24, 2014)
Subject Cognitive radio networks.
Wireless communication systems.
Form Electronic book
Author Di Benedetto, Maria-Gabriella, editor
ISBN 3319017179
3319017187 (electronic bk.)
9783319017181 (electronic bk.)