top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Artificial intelligence for 6G / / Haesik Kim
Artificial intelligence for 6G / / Haesik Kim
Autore Kim Haesik
Pubbl/distr/stampa Cham, Switzerland : , : Springer International Publishing, , [2022]
Descrizione fisica 1 online resource (534 pages)
Disciplina 621.384
Soggetto topico Wireless communication systems - Design and construction
Wireless communication systems - Economic aspects
ISBN 9783030950415
9783030950408
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Abbreviations -- Part I Artificial Intelligence Techniques -- 1 Historical Sketch of Artificial Intelligence -- 1.1 Introduction to Artificial Intelligence -- 1.2 History of Artificial Intelligence -- References -- 2 Artificial Intelligence Ecosystem, Techniques, and Use Cases -- 2.1 Artificial Intelligence Ecosystem -- 2.2 Hardware and Software of Artificial Intelligence -- 2.3 Artificial Intelligence Techniques and Selection -- 2.4 Artificial Intelligence Workflow and Use Cases -- References -- 3 Unsupervised Learning -- 3.1 Types and Performance Metrics of Unsupervised Learning -- 3.2 Clustering Algorithms -- 3.2.1 Hierarchical Clustering -- 3.2.2 Partitional Clustering -- 3.3 Association Rule Mining -- 3.4 Dimensionality Reduction -- 3.5 Problems -- References -- 4 Supervised Learning -- 4.1 Supervised Learning Workflow, Metrics, and Ensemble Methods -- 4.2 Classification of Supervised Learning -- 4.2.1 Decision Tree -- 4.2.2 K-Nearest Neighbours -- 4.2.3 Support Vector Machine -- 4.3 Regression of Supervised Learning -- 4.3.1 Linear Regression -- 4.3.2 Gradient Descent Algorithms -- 4.3.3 Logistic Regression -- 4.4 Problems -- References -- 5 Reinforcement Learning -- 5.1 Introduction to Reinforcement Learning and Markov Decision Process -- 5.2 Model-Based Approaches -- 5.2.1 Policy Iteration -- 5.2.2 Value Iteration -- 5.3 Model-Free Approaches -- 5.3.1 Monte Carlo Methods -- 5.3.2 Temporal difference learning methods -- 5.4 Problems -- References -- 6 Deep Learning -- 6.1 Introduction to Deep Learning -- 6.2 Deep Neural Network -- 6.3 Convolutional Neural Network -- 6.4 Recurrent Neural Network -- 6.5 Problems -- References -- Part II AI-Enabled Communications and Networks Techniques for 6G -- 7 6G Wireless Communications and Networks Systems -- 7.1 6G Wireless Communications and Networks.
7.1.1 6G Use Cases and Requirements -- 7.1.2 6G Timeline, Technical Requirements, and Technical Challenges -- 7.1.3 6G Key Enabling Techniques -- 7.2 AI-Enabled 6G Wireless Communications and Networks -- 7.2.1 AI and ML Contributions to Physical Layers -- 7.2.2 AI and ML Contribution to Data Link and Network Layers and Open Research Challenges -- 7.3 Problems -- References -- 8 AI-Enabled Physical Layer -- 8.1 Design Approaches of AI-Enabled Physical Layer -- 8.2 End-To-End Physical Layer Redesign with Autoencoder -- 8.3 Wireless Channel Models -- 8.4 Signal Detection and Modulation -- 8.5 Channel Estimation -- 8.6 Error Control Coding -- 8.7 MIMO -- 8.8 Problems -- References -- 9 AI-Enabled Data Link Layer -- 9.1 Design Approaches of AI-Enabled Data Link Layer -- 9.2 Radio Resource Allocation and Scheduling -- 9.2.1 Resource Allocation Problems in Wireless Networks and Convex Optimization -- 9.2.2 Resource Allocation Models and Performance Measure -- 9.2.3 Utility Functions and Fairness of Resource Allocation -- 9.2.4 Resource Allocation Using AI Techniques -- 9.3 Handover Using AI Techniques -- 9.4 Problems -- References -- 10 AI-Enabled Network Layer -- 10.1 Design Approaches of AI-Enabled Network Layer -- 10.2 Cellular Systems and Networking -- 10.2.1 Evolution of Cellular Networks -- 10.2.2 Concept of Cellular Systems -- 10.2.3 Cell Planning -- 10.3 Network Traffic Prediction -- 10.3.1 Classic Network Traffic Prediction -- 10.3.2 AI-Enabled Network Traffic Prediction -- 10.4 Problems -- References -- Index.
Record Nr. UNINA-9910558492703321
Kim Haesik  
Cham, Switzerland : , : Springer International Publishing, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design and optimization for 5G wireless communications / / Haesik Kim
Design and optimization for 5G wireless communications / / Haesik Kim
Autore Kim Haesik
Pubbl/distr/stampa Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020
Descrizione fisica 1 online resource (xix, 400 pages) : illustrations
Disciplina 621.38456
Soggetto topico 5G mobile communication systems - Design and construction - Mathematics
ISBN 1-119-49452-4
1-119-49449-4
1-119-49444-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface xi -- List of Abbreviations xiii -- Part I Mathematical Methods and Optimization Theories for Wireless Communications 1 -- 1 Historical Sketch of Cellular Communications and Networks 3 -- 1.1 Evolution of Cellular Communications and Networks 3 -- 1.2 Evolution to 5G Networks 9 -- References 11 -- 2 5G Wireless Communication System Parameters and Requirements 13 -- 2.1 5G Requirements 13 -- 2.2 Trade-off of 5G System Metrics 16 -- Problems 19 -- References 20 -- 3 Mathematical Methods for Wireless Communications 21 -- 3.1 Signal Spaces 21 -- 3.2 Approximation and Estimation in Signal Spaces 32 -- 3.2.1 Approximation Problems 32 -- 3.2.2 Least Squares Estimation 35 -- 3.2.3 Minimum Mean-Squared Error Estimation 45 -- 3.2.4 Maximum Likelihood and Maximum A Posteriori Estimation 65 -- 3.3 Matrix Factorization 71 -- 3.3.1 LU Decomposition 71 -- 3.3.2 Cholesky Decomposition 76 -- 3.3.3 QR Decomposition 77 -- 3.3.4 SVD Decomposition 85 -- Problems 92 -- References 95 -- 4 Mathematical Optimization Techniques for Wireless Communications 97 -- 4.1 Introduction 97 -- 4.2 Mathematical Modeling and Optimization Process 99 -- 4.3 Linear Programming 108 -- 4.4 Convex Optimization 120 -- 4.4.1 Barrier Method 124 -- 4.4.2 Primal-Dual Interior Point Method 130 -- 4.5 Gradient Descent Method 138 -- Problems 146 -- References 149 -- 5 Machine Learning 151 -- 5.1 Artificial Intelligence, Machine Learning, and Deep Learning 152 -- 5.2 Supervised and Unsupervised Learning 153 -- 5.3 Reinforcement Learning 177 -- Problems 191 -- References 193 -- Part II Design and Optimization for 5G Wireless Communications and Networks 195 -- 6 Design Principles for 5G Communications and Networks 197 -- 6.1 New Design Approaches and Key Challenges of 5G Communications and Networks 198 -- 6.1.1 5G Frequency Bands 198 -- 6.1.2 Low Latency 199 -- 6.1.3 More Efficient Radio Resource Utilization 201 -- 6.1.4 Small Cells and Ultra-Dense Networks 202 -- 6.1.5 Higher Flexibility 202 -- 6.1.6 Virtualization 203.
6.1.7 Distributed Network Architecture 204 -- 6.1.8 Device-Centric Communications 205 -- 6.1.9 New Air Interfaces 206 -- 6.1.10 Big Data Management 206 -- 6.2 5G New Radio 207 -- 6.2.1 5G Radio Access Network Architecture 207 -- 6.2.2 5G NR Deployment Scenarios 208 -- 6.2.3 Frame Structure 209 -- 6.2.4 5G Logical, Transport, and Physical Channels 213 -- 6.2.5 5G Protocol Layers 217 -- 6.2.6 5G NR Physical Layer Processing 220 -- 6.2.7 5G Initial Access Procedure and Beam Management 222 -- 6.3 5G Key Enabling Techniques 226 -- 6.3.1 5GWaveforms 226 -- 6.3.2 5G Multiple Access Schemes 227 -- 6.3.3 Channel Coding Schemes 228 -- 6.3.4 MIMO 230 -- 6.3.5 mmWAVE 231 -- 6.3.6 Network Slicing 232 -- 6.3.7 Multi-access Edge Computing 232 -- Problems 235 -- References 237 -- 7 Enhanced Mobile Broadband Communication Systems 239 -- 7.1 Introduction 239 -- 7.2 Design Approaches of eMBB Systems 240 -- 7.3 MIMO 242 -- 7.3.1 Capacity of MIMO Channel 243 -- 7.3.2 SpacéôTime Coding Design 251 -- 7.3.3 Spatial Multiplexing Design 262 -- 7.3.4 Massive MIMO 268 -- 7.4 5G Multiple Access Techniques 271 -- 7.4.1 OFDM System Design 271 -- 7.4.2 FBMC, GFDM, and UFMC 280 -- 7.5 5G Channel Coding and Modulation 284 -- 7.5.1 LDPC Codes 285 -- 7.5.2 Coding and Modulation for High Spectral Efficiency 291 -- Problems 299 -- References 300 -- 8 Ultra-Reliable and Low Latency Communication Systems 303 -- 8.1 Design Approaches of URLLC Systems 304 -- 8.2 Short Packet Transmission 306 -- 8.3 Latency Analysis 317 -- 8.4 Multi-Access Edge Computing 328 -- Problems 339 -- References 340 -- 9 Massive Machine Type Communication Systems 343 -- 9.1 Introduction 343 -- 9.2 Design Approaches of mMTC Systems 344 -- 9.3 Robust Optimization 351 -- 9.4 Power Control and Management 362 -- 9.4.1 Linear Programming for Power Control in Distributed Networks 363 -- 9.4.2 Power Control Problem Formulations 366 -- 9.4.3 Beamforming for Transmit Power Minimization 370 -- 9.5 Wireless Sensor Networks 376 -- Problems 392.
References 393 -- Index 397.
Record Nr. UNINA-9910555079303321
Kim Haesik  
Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design and optimization for 5G wireless communications / / Haesik Kim
Design and optimization for 5G wireless communications / / Haesik Kim
Autore Kim Haesik
Pubbl/distr/stampa Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020
Descrizione fisica 1 online resource (xix, 400 pages) : illustrations
Disciplina 621.38456
Soggetto topico 5G mobile communication systems - Design and construction - Mathematics
ISBN 1-119-49452-4
1-119-49449-4
1-119-49444-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface xi -- List of Abbreviations xiii -- Part I Mathematical Methods and Optimization Theories for Wireless Communications 1 -- 1 Historical Sketch of Cellular Communications and Networks 3 -- 1.1 Evolution of Cellular Communications and Networks 3 -- 1.2 Evolution to 5G Networks 9 -- References 11 -- 2 5G Wireless Communication System Parameters and Requirements 13 -- 2.1 5G Requirements 13 -- 2.2 Trade-off of 5G System Metrics 16 -- Problems 19 -- References 20 -- 3 Mathematical Methods for Wireless Communications 21 -- 3.1 Signal Spaces 21 -- 3.2 Approximation and Estimation in Signal Spaces 32 -- 3.2.1 Approximation Problems 32 -- 3.2.2 Least Squares Estimation 35 -- 3.2.3 Minimum Mean-Squared Error Estimation 45 -- 3.2.4 Maximum Likelihood and Maximum A Posteriori Estimation 65 -- 3.3 Matrix Factorization 71 -- 3.3.1 LU Decomposition 71 -- 3.3.2 Cholesky Decomposition 76 -- 3.3.3 QR Decomposition 77 -- 3.3.4 SVD Decomposition 85 -- Problems 92 -- References 95 -- 4 Mathematical Optimization Techniques for Wireless Communications 97 -- 4.1 Introduction 97 -- 4.2 Mathematical Modeling and Optimization Process 99 -- 4.3 Linear Programming 108 -- 4.4 Convex Optimization 120 -- 4.4.1 Barrier Method 124 -- 4.4.2 Primal-Dual Interior Point Method 130 -- 4.5 Gradient Descent Method 138 -- Problems 146 -- References 149 -- 5 Machine Learning 151 -- 5.1 Artificial Intelligence, Machine Learning, and Deep Learning 152 -- 5.2 Supervised and Unsupervised Learning 153 -- 5.3 Reinforcement Learning 177 -- Problems 191 -- References 193 -- Part II Design and Optimization for 5G Wireless Communications and Networks 195 -- 6 Design Principles for 5G Communications and Networks 197 -- 6.1 New Design Approaches and Key Challenges of 5G Communications and Networks 198 -- 6.1.1 5G Frequency Bands 198 -- 6.1.2 Low Latency 199 -- 6.1.3 More Efficient Radio Resource Utilization 201 -- 6.1.4 Small Cells and Ultra-Dense Networks 202 -- 6.1.5 Higher Flexibility 202 -- 6.1.6 Virtualization 203.
6.1.7 Distributed Network Architecture 204 -- 6.1.8 Device-Centric Communications 205 -- 6.1.9 New Air Interfaces 206 -- 6.1.10 Big Data Management 206 -- 6.2 5G New Radio 207 -- 6.2.1 5G Radio Access Network Architecture 207 -- 6.2.2 5G NR Deployment Scenarios 208 -- 6.2.3 Frame Structure 209 -- 6.2.4 5G Logical, Transport, and Physical Channels 213 -- 6.2.5 5G Protocol Layers 217 -- 6.2.6 5G NR Physical Layer Processing 220 -- 6.2.7 5G Initial Access Procedure and Beam Management 222 -- 6.3 5G Key Enabling Techniques 226 -- 6.3.1 5GWaveforms 226 -- 6.3.2 5G Multiple Access Schemes 227 -- 6.3.3 Channel Coding Schemes 228 -- 6.3.4 MIMO 230 -- 6.3.5 mmWAVE 231 -- 6.3.6 Network Slicing 232 -- 6.3.7 Multi-access Edge Computing 232 -- Problems 235 -- References 237 -- 7 Enhanced Mobile Broadband Communication Systems 239 -- 7.1 Introduction 239 -- 7.2 Design Approaches of eMBB Systems 240 -- 7.3 MIMO 242 -- 7.3.1 Capacity of MIMO Channel 243 -- 7.3.2 SpacéôTime Coding Design 251 -- 7.3.3 Spatial Multiplexing Design 262 -- 7.3.4 Massive MIMO 268 -- 7.4 5G Multiple Access Techniques 271 -- 7.4.1 OFDM System Design 271 -- 7.4.2 FBMC, GFDM, and UFMC 280 -- 7.5 5G Channel Coding and Modulation 284 -- 7.5.1 LDPC Codes 285 -- 7.5.2 Coding and Modulation for High Spectral Efficiency 291 -- Problems 299 -- References 300 -- 8 Ultra-Reliable and Low Latency Communication Systems 303 -- 8.1 Design Approaches of URLLC Systems 304 -- 8.2 Short Packet Transmission 306 -- 8.3 Latency Analysis 317 -- 8.4 Multi-Access Edge Computing 328 -- Problems 339 -- References 340 -- 9 Massive Machine Type Communication Systems 343 -- 9.1 Introduction 343 -- 9.2 Design Approaches of mMTC Systems 344 -- 9.3 Robust Optimization 351 -- 9.4 Power Control and Management 362 -- 9.4.1 Linear Programming for Power Control in Distributed Networks 363 -- 9.4.2 Power Control Problem Formulations 366 -- 9.4.3 Beamforming for Transmit Power Minimization 370 -- 9.5 Wireless Sensor Networks 376 -- Problems 392.
References 393 -- Index 397.
Record Nr. UNINA-9910816925903321
Kim Haesik  
Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wireless communications systems design / / Haesik Kim, VTT Technical Research Centre of Findland
Wireless communications systems design / / Haesik Kim, VTT Technical Research Centre of Findland
Autore Kim Haesik
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, United Kingdom : , : Wiley, , 2015
Descrizione fisica 1 online resource (437 p.)
Disciplina 621.384
Soggetto topico Wireless communication systems - Design and construction
ISBN 1-118-75944-3
1-118-75947-8
1-118-75945-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Preface xi -- List of Abbreviations xiii -- Part I Wireless Communications Theory 1 -- 1 Historical Sketch of Wireless Communications 3 -- 1.1 Advancement of Wireless Communications Technologies 3 -- 1.2 Wireless Communications, Lifestyles, and Economics 6 -- References 9 -- 2 Probability Theory 11 -- 2.1 Random Signals 11 -- 2.2 Spectral Density 16 -- 2.3 Correlation Functions 18 -- 2.4 Central Limit Theorem 25 -- 2.5 Problems 28 -- Reference 30 -- 3 Wireless Channels 31 -- 3.1 Additive White Gaussian Noise 31 -- 3.2 Large?]Scale Path Loss Models 34 -- 3.3 Multipath Channels 38 -- 3.4 Empirical Wireless Channel Models 46 -- 3.5 Problems 48 -- References 50 -- 4 Optimum Receiver 51 -- 4.1 Decision Theory 51 -- 4.2 Optimum Receiver for AWGN 55 -- 4.3 Matched Filter Receiver 66 -- 4.4 Coherent and Noncoherent Detection 69 -- 4.5 Problems 73 -- References 74 -- 5 Wireless Channel Impairment Mitigation Techniques 75 -- 5.1 Diversity Techniques 75 -- 5.2 Error Control Coding 82 -- 5.2.1 Linear Block Codes 84 -- 5.2.2 Convolutional Codes 92 -- 5.3 MIMO 99 -- 5.4 Equalization 107 -- 5.5 OFDM 114 -- 5.6 Problems 120 -- References 121 -- Part II Wireless Communications Blocks Design 123 -- 6 Error Correction Codes 125 -- 6.1 Turbo Codes 125 -- 6.1.1 Turbo Encoding and Decoding Algorithm 125 -- 6.1.2 Example of Turbo Encoding and Decoding 133 -- 6.1.3 Hardware Implementation of Turbo Encoding and Decoding 149 -- 6.2 Turbo Product Codes 155 -- 6.2.1 Turbo Product Encoding and Decoding Algorithm 155 -- 6.2.2 Example of Turbo Product Encoding and Decoding 156 -- 6.2.3 Hardware Implementation of Turbo Product Encoding and Decoding 174 -- 6.3 Low?]Density Parity Check Codes 175 -- 6.3.1 LDPC Encoding and Decoding Algorithms 175 -- 6.3.2 Example of LDPC Encoding and Decoding 191 -- 6.3.3 Hardware Implementation of LDPC Encoding and Decoding 199 -- 6.4 Problems 205 -- References 206 -- 7 Orthogonal Frequency?]Division Multiplexing 209 -- 7.1 OFDM System Design 209 -- 7.2 FFT Design 217.
7.3 Hardware Implementations of FFT 232 -- 7.4 Problems 237 -- References 238 -- 8 Multiple Input Multiple Output 239 -- 8.1 MIMO Antenna Design 239 -- 8.2 Space Time Coding 240 -- 8.3 Example of STTC Encoding and Decoding 254 -- 8.4 Spatial Multiplexing and MIMO Detection Algorithms 266 -- 8.5 Problems 276 -- References 277 -- 9 Channel Estimation and Equalization 279 -- 9.1 Channel Estimation 279 -- 9.2 Channel Estimation for MIMO / OFDM System 293 -- 9.3 Equalization 295 -- 9.4 Hardware Implementation of Channel Estimation and Equalizer for OFDM System 298 -- 9.5 Problems 298 -- References 299 -- 10 Synchronization 301 -- 10.1 Fundamental Synchronization Techniques for OFDM System 301 -- 10.2 Synchronization Errors 305 -- 10.3 Synchronization Techniques for OFDM System 310 -- 10.4 Hardware Implementation of OFDM Synchronization 319 -- 10.5 Problems 320 -- References 321 -- Part III Wireless Communications Systems Design 323 -- 11 Radio Planning 325 -- 11.1 Radio Planning and Link Budget Analysis 325 -- 11.2 Traffic Engineering 335 -- 11.3 Problems 345 -- References 347 -- 12 Wireless Communications Systems Design and Considerations 349 -- 12.1 Wireless Communications Systems Design Flow 349 -- 12.2 Wireless Communications Systems Design Considerations 353 -- 12.3 Hardware and Software Codesign 370 -- 12.4 Problems 377 -- References 378 -- 13 Wireless Communications Blocks Integration 379 -- 13.1 High Level View of Wireless Communications Systems 379 -- 13.2 4G Physical Layer Systems 383 -- 13.2.1 LTE 384 -- 13.2.2 WiMAX 394 -- 13.2.3 Comparison of LTE and WiMAX 400 -- 13.3 SoC Design for 4G Communication System 401 -- 13.3.1 Software Design for 4G Communication System 403 -- 13.3.2 Hardware Design for 4G Communication System 404 -- 13.4 Problems 409 -- References 410 -- Index 411.
Record Nr. UNINA-9910131582803321
Kim Haesik  
Chichester, West Sussex, United Kingdom : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wireless communications systems design / / Haesik Kim, VTT Technical Research Centre of Findland
Wireless communications systems design / / Haesik Kim, VTT Technical Research Centre of Findland
Autore Kim Haesik
Edizione [1st edition]
Pubbl/distr/stampa Chichester, West Sussex, United Kingdom : , : Wiley, , 2015
Descrizione fisica 1 online resource (437 p.)
Disciplina 621.384
Soggetto topico Wireless communication systems - Design and construction
ISBN 1-118-75944-3
1-118-75947-8
1-118-75945-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Preface xi -- List of Abbreviations xiii -- Part I Wireless Communications Theory 1 -- 1 Historical Sketch of Wireless Communications 3 -- 1.1 Advancement of Wireless Communications Technologies 3 -- 1.2 Wireless Communications, Lifestyles, and Economics 6 -- References 9 -- 2 Probability Theory 11 -- 2.1 Random Signals 11 -- 2.2 Spectral Density 16 -- 2.3 Correlation Functions 18 -- 2.4 Central Limit Theorem 25 -- 2.5 Problems 28 -- Reference 30 -- 3 Wireless Channels 31 -- 3.1 Additive White Gaussian Noise 31 -- 3.2 Large?]Scale Path Loss Models 34 -- 3.3 Multipath Channels 38 -- 3.4 Empirical Wireless Channel Models 46 -- 3.5 Problems 48 -- References 50 -- 4 Optimum Receiver 51 -- 4.1 Decision Theory 51 -- 4.2 Optimum Receiver for AWGN 55 -- 4.3 Matched Filter Receiver 66 -- 4.4 Coherent and Noncoherent Detection 69 -- 4.5 Problems 73 -- References 74 -- 5 Wireless Channel Impairment Mitigation Techniques 75 -- 5.1 Diversity Techniques 75 -- 5.2 Error Control Coding 82 -- 5.2.1 Linear Block Codes 84 -- 5.2.2 Convolutional Codes 92 -- 5.3 MIMO 99 -- 5.4 Equalization 107 -- 5.5 OFDM 114 -- 5.6 Problems 120 -- References 121 -- Part II Wireless Communications Blocks Design 123 -- 6 Error Correction Codes 125 -- 6.1 Turbo Codes 125 -- 6.1.1 Turbo Encoding and Decoding Algorithm 125 -- 6.1.2 Example of Turbo Encoding and Decoding 133 -- 6.1.3 Hardware Implementation of Turbo Encoding and Decoding 149 -- 6.2 Turbo Product Codes 155 -- 6.2.1 Turbo Product Encoding and Decoding Algorithm 155 -- 6.2.2 Example of Turbo Product Encoding and Decoding 156 -- 6.2.3 Hardware Implementation of Turbo Product Encoding and Decoding 174 -- 6.3 Low?]Density Parity Check Codes 175 -- 6.3.1 LDPC Encoding and Decoding Algorithms 175 -- 6.3.2 Example of LDPC Encoding and Decoding 191 -- 6.3.3 Hardware Implementation of LDPC Encoding and Decoding 199 -- 6.4 Problems 205 -- References 206 -- 7 Orthogonal Frequency?]Division Multiplexing 209 -- 7.1 OFDM System Design 209 -- 7.2 FFT Design 217.
7.3 Hardware Implementations of FFT 232 -- 7.4 Problems 237 -- References 238 -- 8 Multiple Input Multiple Output 239 -- 8.1 MIMO Antenna Design 239 -- 8.2 Space Time Coding 240 -- 8.3 Example of STTC Encoding and Decoding 254 -- 8.4 Spatial Multiplexing and MIMO Detection Algorithms 266 -- 8.5 Problems 276 -- References 277 -- 9 Channel Estimation and Equalization 279 -- 9.1 Channel Estimation 279 -- 9.2 Channel Estimation for MIMO / OFDM System 293 -- 9.3 Equalization 295 -- 9.4 Hardware Implementation of Channel Estimation and Equalizer for OFDM System 298 -- 9.5 Problems 298 -- References 299 -- 10 Synchronization 301 -- 10.1 Fundamental Synchronization Techniques for OFDM System 301 -- 10.2 Synchronization Errors 305 -- 10.3 Synchronization Techniques for OFDM System 310 -- 10.4 Hardware Implementation of OFDM Synchronization 319 -- 10.5 Problems 320 -- References 321 -- Part III Wireless Communications Systems Design 323 -- 11 Radio Planning 325 -- 11.1 Radio Planning and Link Budget Analysis 325 -- 11.2 Traffic Engineering 335 -- 11.3 Problems 345 -- References 347 -- 12 Wireless Communications Systems Design and Considerations 349 -- 12.1 Wireless Communications Systems Design Flow 349 -- 12.2 Wireless Communications Systems Design Considerations 353 -- 12.3 Hardware and Software Codesign 370 -- 12.4 Problems 377 -- References 378 -- 13 Wireless Communications Blocks Integration 379 -- 13.1 High Level View of Wireless Communications Systems 379 -- 13.2 4G Physical Layer Systems 383 -- 13.2.1 LTE 384 -- 13.2.2 WiMAX 394 -- 13.2.3 Comparison of LTE and WiMAX 400 -- 13.3 SoC Design for 4G Communication System 401 -- 13.3.1 Software Design for 4G Communication System 403 -- 13.3.2 Hardware Design for 4G Communication System 404 -- 13.4 Problems 409 -- References 410 -- Index 411.
Record Nr. UNINA-9910825328703321
Kim Haesik  
Chichester, West Sussex, United Kingdom : , : Wiley, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui