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Cognitive Radio Oriented Wireless Networks

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Cover of 'Cognitive Radio Oriented Wireless Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Network Resource Trading: Locating the Contract Sweet Spot for the Case of Dynamic and Decentralized Non-broker Spectrum Sharing
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    Chapter 2 Meet an Fantastic Sibyl: A Powerful Model in Cognitive Radio Networks
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    Chapter 3 REM-Based Indoor Wireless Network Deployment - An Experimental Study
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    Chapter 4 Autonomous Spectrum Assignment of White Space Devices
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    Chapter 5 Machine Learning-Aided Radio Scenario Recognition for Cognitive Radio Networks in Millimeter-Wave Bands
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    Chapter 6 Dynamic Base Station Sleep Control via Submodular Optimization for Green mmWave Networks
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    Chapter 7 Implementation of a Pseudonym-Based Signature Scheme with Bilinear Pairings on Android
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    Chapter 8 Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response
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    Chapter 9 Application of the CBRS Model for Wireless Systems Coexistence in 3.6–3.8 GHz Band
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    Chapter 10 Spectrum Occupancy Classification Using SVM-Radial Basis Function
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    Chapter 11 Analysis of Blockchain Use Cases in the Citizens Broadband Radio Service Spectrum Sharing Concept
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    Chapter 12 Lessons Learned from Long-Term and Imperfect Sensing in 2.4 GHz Unlicensed Band
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    Chapter 13 A Planning Tool for TV White Space Deployments
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    Chapter 14 Impact of Mobility in Spectrum Sensing Capacity
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    Chapter 15 Multi-Armed Bandit Learning in IoT Networks: Learning Helps Even in Non-stationary Settings
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    Chapter 16 Inter-operator Interference Coordination in the Spectrum-Sharing Overlapping Area
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    Chapter 17 Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics
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    Chapter 18 Impact of Uncertainty About a User to be Active on OFDM Transmission Strategies
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    Chapter 19 Reliable and Reproducible Radio Experiments in FIT/CorteXlab SDR Testbed: Initial Findings
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    Chapter 20 Spectrum Broker Service for Micro-operator and CBRS Priority Access Licenses
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    Chapter 21 Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications
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    Chapter 22 Interference Study of Micro Licensing for 5G Micro Operator Small Cell Deployments
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    Chapter 23 Using Deep Neural Networks for Forecasting Cell Congestion on LTE Networks: A Simple Approach
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    Chapter 24 Radio Hardware Virtualization for Coping with Dynamic Heterogeneous Wireless Environments
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    Chapter 25 TV White Spaces and Licensed Shared Access Applied to the Brazilian Context
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    Chapter 26 MAC Design for 5G Dense Networks Based on FBMC Modulation
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    Chapter 27 A Flexible Physical Layer for LPWA Applications
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    Chapter 28 Knapsack Optimisation for Mobility Load Balancing in Dense Small Cell Deployments
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Title
Cognitive Radio Oriented Wireless Networks
Published by
Springer International Publishing, March 2018
DOI 10.1007/978-3-319-76207-4
ISBNs
978-3-31-976206-7, 978-3-31-976207-4
Editors

Marques, Paulo, Radwan, Ayman, Mumtaz, Shahid, Noguet, Dominique, Rodriguez, Jonathan, Gundlach, Michael

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 1%
Lecturer 1 1%
Student > Doctoral Student 1 1%
Student > Master 1 1%
Unknown 78 95%
Readers by discipline Count As %
Engineering 3 4%
Computer Science 1 1%
Unknown 78 95%