Cognitive Radio Oriented Wireless Networks

Name: Cognitive Radio Oriented Wireless Networks | 12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings
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12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings

Paulo Marques Ayman Radwan Shahid Mumtaz Dominique Noguet Jonathan Rodriguez Michael Gundlach(Herausgeber*in)

Springer (Verlag)

Erschienen am 26. Februar 2018

XIII, 348 Seiten

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978-3-319-76207-4 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Main Track
Network Resource Trading: Locating the Contract Sweet Spot for the Case of Dynamic and Decentralized Non-broker Spectrum Sharing
1 Introduction
2 System Description and Definitions
3 Trading Algorithm
4 System-Level Simulation Description
5 System-Level Assessment
6 Conclusion
References
Meet an Fantastic Sibyl: A Powerful Model in Cognitive Radio Networks
Abstract
1 Introduction
2 System Model
2.1 Time Correlation Estimate
2.2 Primary User Behavior Characteristic
2.3 AR-PUER Model
3 Simulations and Analysis
4 Conclusion
Acknowledgement
References
REM-Based Indoor Wireless Network Deployment - An Experimental Study
1 Introduction
2 REM Database Description
3 Experiment Setup
4 Achieved Results
5 Conclusions
References
Autonomous Spectrum Assignment of White Space Devices
1 Introduction
1.1 Related Work
2 System Model
3 Evaluation
4 Conclusions
References
Machine Learning-Aided Radio Scenario Recognition for Cognitive Radio Networks in Millimeter-Wave Bands
Abstract
1 Introduction
2 Framework of Radio Scenario Recognition
2.1 Feature Extraction
2.2 Information Exchange
3 Advanced BP-AdaBoost Algorithm
3.1 BP-AdaBoost Algorithm
3.2 Advanced BP-AdaBoost Algorithm
4 Simulation Results
5 Summary
References
Dynamic Base Station Sleep Control via Submodular Optimization for Green mmWave Networks
1 Introduction
2 System Model
3 Submodular Optimization for mmWave BS Sleep Control
3.1 Problem Formulation
3.2 Algorithms to Solve the Problem
4 Numerical Evaluation
4.1 Simulation Scenario
4.2 Numerical Result
5 Conclusion
References
Implementation of a Pseudonym-Based Signature Scheme with Bilinear Pairings on Android
1 Introduction
2 System Model
2.1 System Functionalities
2.2 Use-Case Scenarios
3 Pseudonym-Based Signature Scheme
4 Implementation Details
4.1 Public Parameter Generation
4.2 CA Server
4.3 Client
4.4 Verifier
5 Results
6 Conclusion
References
Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response
1 Introduction
2 Related Work
3 System Preliminaries
4 Extended Modular Clock Algorithm (EMCA) with Neighbor Information Exchange Mechanism
5 Cognitive Radio Operating Policies
6 Performance Evaluation
7 Conclusion
References
Application of the CBRS Model for Wireless Systems Coexistence in 3.6-3.8 GHz Band
1 Introduction
2 Proposed Vertical Spectrum Sharing Model for 3.6-3.8GHz
2.1 Multi-tier Spectrum Sharing - Scenario Definition
2.2 Database Structure and Functionality
2.3 GAA Subsystem Functionality
3 Experiment Results
3.1 WiMAX and Microwave Link Setup
3.2 GAA Subsystem
3.3 Use Case 1 - One Active GAA Subsystem
3.4 Use Case 2 - Two Active GAA Subsystems
4 Conclusions
References
Spectrum Occupancy Classification Using SVM-Radial Basis Function
1 Introduction
2 Measurement Setup and Data
3 Measurement Scenario
4 Spectrum Occupancy Characteristics
5 Methods for Spectrum Occupancy
5.1 Linear Correlation Method
5.2 Average Duty Cycle Method
5.3 Continuous Time Semi-Markov Chain Model
5.4 Linear Mixed Effect Model for Spectrum Occupancy
6 Statistical Analysis Using Radial Basis Function
7 Conclusion
References
Analysis of Blockchain Use Cases in the Citizens Broadband Radio Service Spectrum Sharing Concept
Abstract
1 Introduction
2 Citizens Broadband Radio Service Concept
3 Blockchain Technology
4 Analysis of Blockchain Use Cases in CBRS
4.1 CBRS Implementation Considerations
4.2 BC Core Characteristics
4.3 Use Case Analysis
5 Conclusion
Acknowledgments
References
Lessons Learned from Long-Term and Imperfect Sensing in 2.4 GHz Unlicensed Band
Abstract
1 Introduction
2 Related Work
3 Preliminaries
4 Observations and Results
4.1 Overview (Dataset B)
4.2 Temporal Trends (Dataset A)
4.3 Real vs. Synthetic Data. Correlations (Dataset B)
5 Conclusions
References
RETRACTED CHAPTER: A Planning Tool for TV White Space Deployments
1 Introduction
2 Design
2.1 Criteria for Selection of Base Stations
2.2 Throughput Calculations
2.3 Algorithm
2.4 Datasets
2.5 Graphical User Interface of the Planning Tool
3 Evaluation
4 Related Work
5 Conclusion
References
Impact of Mobility in Spectrum Sensing Capacity
Abstract
1 Introduction
2 System Model
2.1 System Description
2.2 Distribution of the PUs Over the Simulated Region
3 Aggregate Interference
3.1 Interference Caused by the PUs Located Within the l-th Annulus
3.2 Aggregate Interference Due to PUs Located Within L Annuli
3.3 Distribution of the Aggregate Interference
4 Sensing Capacity
4.1 Formal Definition
4.2 Comparison Results
5 Conclusions
Acknowledgments
References
Multi-Armed Bandit Learning in IoT Networks: Learning Helps Even in Non-stationary Settings
1 Introduction
2 System Model and Notations
3 Three Reference Policies
3.1 Naive Policy: Random Channel Selection
3.2 (Unachievable) Optimal Oracle Policy
3.3 A Greedy Approach of the Oracle Strategy
4 Sequential Policies Based on Bandit Algorithms
4.1 Stochastic Multi-Armed Bandits
4.2 The UCB1 Algorithm
4.3 Thompson Sampling
4.4 A Bandit Model for IoT
5 Experiments and Numerical Results
6 Conclusion
References
Inter-operator Interference Coordination in the Spectrum-Sharing Overlapping Area
Abstract
1 Introduction
2 Related Works
3 System Scenario and Interference Model
3.1 System Scenario
3.2 Interference Model
4 Clustering-Based Spectrum Allocation
4.1 Undirected Weighted Graph
4.2 Undirected Weighted Graph-Based Clustering Approach
4.3 Clustering-Based Spectrum Allocation Method
5 Power Adjustment Procedure
6 Performance Simulations
6.1 Simulation Scenario
6.2 Simulation Parameters
6.3 Ratio of Satisfied SUs
6.4 Comparison of the CDF of SINR
6.5 Sum of Co-channel Interference
7 Conclusion
References
Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics
1 Introduction
2 System Model: Single-Carrier Linear Transmitter
2.1 Faster-than-Nyquist Signaling
2.2 Higher-Order Statistics of FTN Signals
2.3 Proposed Estimator over the AWGN Channel
3 Simulations
4 Conclusion
References
Impact of Uncertainty About a User to be Active on OFDM Transmission Strategies
1 Introduction
2 Formulation of the Problem
3 Equilibrium Strategies in Closed Form
4 Both Users Always are Active: Explicit Solution
5 Conclusions
A Appendix
References
Invited Papers
Reliable and Reproducible Radio Experiments in FIT/CorteXlab SDR Testbed: Initial Findings
1 Introduction
2 Experimental Reproducibility
3 Path-Loss Characterization in FIT/CorteXlab
3.1 TX-RX Gain-Power Characterization
3.2 Path-Loss Measurement Campaign
4 Experimental Results
5 Conclusions and Perspectives
References
Spectrum Broker Service for Micro-operator and CBRS Priority Access Licenses
Abstract
1 Introduction
2 Brokering Business and CBRS
3 Spectrum Broker Service Concept
4 Automatic Spectrum Valuation
5 Conclusions
References
Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications
1 Introduction
2 TUAS Test Networks and Field Measurement Activities
2.1 Digital Terrestrial Television and TV White Spaces
2.2 Licensed Spectrum Sharing
2.3 Industrial IoT
3 Spectrum Issues in 5G
4 TUAS Testbed for 5G Vertical Applications
5 Radio Spectrum Monitoring and Sensing
6 Conclusions
References
Interference Study of Micro Licensing for 5G Micro Operator Small Cell Deployments
Abstract
1 Introduction
2 Local Micro Operator Deployments
2.1 Micro Operator Concept
2.2 Interference Characterization
3 Calculation of Maximum Allowable Transmit Power
4 Results
5 Conclusions and Future Work
Acknowledgment
References
Using Deep Neural Networks for Forecasting Cell Congestion on LTE Networks: A Simple Approach
Abstract
1 Introduction
2 State of the Art Related to Forecast
2.1 Classical Framework
2.2 Deep Neural Networks
3 Methodology and Methods
3.1 Methodology
3.2 Method
4 Experimental Results
5 Conclusions
Acknowledgments
References
Radio Hardware Virtualization for Coping with Dynamic Heterogeneous Wireless Environments
Abstract
1 Introduction
2 Latency Analysis
2.1 Latency Requirement of Wi-Fi and LTE
2.2 Latency Measurement Results of USRP + Host Computer
2.3 Latency Measurement Results of Xilinx Zynq-7000 SoC
3 Architecture Design
4 Demonstration
5 Conclusion and Future Work
Acknowledgment
References
TV White Spaces and Licensed Shared Access Applied to the Brazilian Context
1 Introduction
2 Spectrum Sharing
2.1 TVWS
2.2 LSA
3 Brazilian Regulation Scenario
4 Spectrum Sharing Trends in Brazil
4.1 TVWS Case Study
4.2 LSA Case Study
5 Conclusions
References
MAC Design for 5G Dense Networks Based on FBMC Modulation
1 Introduction
2 FBMC and PHY Assumptions
3 FBMC-MAC Protocol Design
3.1 MAC Superframe Design
3.2 Multiple Access
3.3 Shared Spectrum Utilization Modes
4 Performance Evaluation
4.1 Simulation Assumptions
4.2 Simulation Results
5 Conclusion
References
A Flexible Physical Layer for LPWA Applications
Abstract
1 Introduction
2 Waveform Candidate Selection and Evaluation Models
3 Performance Evaluation
3.1 Range Performance Comparison
3.2 Power Consumption
3.3 Performance for LPWA Applications
4 A New Physical Layer for LPWA
5 Conclusion
References
Late Papers
Knapsack Optimisation for Mobility Load Balancing in Dense Small Cell Deployments
Abstract
1 Introduction
2 Knapsack Optimisation for MLB in Small Cells
2.1 Background
2.2 System Model
3 Simulation Results and Discussion
4 Conclusions
References
Retraction Note to: A Planning Tool for TV White Space Deployments
Retraction Note to: Chapter "A Planning Tool for TV White Space Deployments" in: P. Marques et al. (Eds.): Cognitive Radio Oriented Wireless Networks, LNICST 228, https://doi.org/10.1007/978-3-319-76207-4_13
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