LEADER 13260nam 22007935 450 001 9910299276503321 005 20200703105345.0 010 $a3-319-76207-9 024 7 $a10.1007/978-3-319-76207-4 035 $a(CKB)4100000002485503 035 $a(DE-He213)978-3-319-76207-4 035 $a(MiAaPQ)EBC6282968 035 $a(MiAaPQ)EBC5588848 035 $a(Au-PeEL)EBL5588848 035 $a(OCoLC)1025329048 035 $a(PPN)224638505 035 $a(EXLCZ)994100000002485503 100 $a20180216d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCognitive Radio Oriented Wireless Networks $e12th International Conference, CROWNCOM 2017, Lisbon, Portugal, September 20-21, 2017, Proceedings /$fedited by Paulo Marques, Ayman Radwan, Shahid Mumtaz, Dominique Noguet, Jonathan Rodriguez, Michael Gundlach 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 348 p. 154 illus.) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-8211 ;$v228 311 $a3-319-76206-0 327 $aIntro -- 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. 327 $a1 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. 327 $a4.1 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 -- 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. 327 $aInter-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. 327 $aReferences -- 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. 327 $aMAC Design for 5G Dense Networks Based on FBMC Modulation. 330 $aThis book constitutes the thoroughly refereed conference proceedings of the 12th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017, held in Lisbon, Portugal, in September 2017. The 28 revised full papers presented were carefully reviewed and selected from numerous submissions and cover the evolution of cognitive radio technology pertaining to 5G networks. The papers are clustered to topics on spectrum management; network management; trials, test beds, and tools; PHY and sensing; spectrum management. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-8211 ;$v228 606 $aComputer communication systems 606 $aArtificial intelligence 606 $aApplication software 606 $aCoding theory 606 $aInformation theory 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041 615 0$aComputer communication systems. 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aCoding theory. 615 0$aInformation theory. 615 14$aComputer Communication Networks. 615 24$aArtificial Intelligence. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aCoding and Information Theory. 676 $a004 702 $aMarques$b Paulo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRadwan$b Ayman$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMumtaz$b Shahid$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNoguet$b Dominique$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRodriguez$b Jonathan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGundlach$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299276503321 996 $aCognitive Radio Oriented Wireless Networks$92205536 997 $aUNINA