Cognitive radio and networking for heterogeneous wireless networks : recent advances and visions for the future /
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| Imprint: | Cham : Springer, [2014] ©2015 |
|---|---|
| Description: | 1 online resource (xxv, 405 pages) : illustrations. |
| Language: | English |
| Series: | Signals and Communication Technology, 1860-4862 Signals and communication technology. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11089252 |
Table of 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; 1.1.1.1 Undersampled Lattice (TF>1); 1.1.1.2 Critically Sampled Lattice (TF=1); 1.1.1.3 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; 1.3.1.1 FMT; 1.3.1.2 CMT.
- 1.3.1.3 FBMC-OQAM (SMT, Staggered Multitone Boroujofdmvsfbmc)1.3.2 Filter Bank Transceivers; 1.3.3 Equalization Techniques in FBMC; 1.3.3.1 Review of Multiple Taps Equalizers Design; 1.3.4 Polyphase Implementation of Filter Bank for Multicarrier Transmission; 1.3.4.1 Polyphase Representation; 1.3.4.2 Multirate Identities; 1.3.4.3 Polyphase Synthesis Filter Bank; 1.3.4.4 Polyphase Analysis Filter Bank; 1.3.4.5 FBMC Polyphase Structure; 1.3.5 Review of Prototype Filter Design; 1.3.5.1 Rectangular Window Function; 1.3.5.2 The Square Root of Raised Cosine (SRRC).
- 1.3.5.3 Extended Gaussian Function (EGF)1.3.5.4 PHYDYAS Prototype Filter; 1.3.5.5 Other Prototype Filters; 1.3.5.6 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.
- 2.4.2.1 Static Approach2.4.2.2 Uncoordinated Approach; 2.4.2.3 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; 3.7.2.1 Energy Consumption Model; 3.7.3 Problem Formulation; 3.7.3.1 Outer Linearization (OL); 3.7.3.2 A Low Complexity Heuristic Algorithm: Energy Aware Sensing Scheduling (EASE).