Wiley
Wiley.com
Print this page Share
E-book

Advanced Wireless Communications and Internet: Future Evolving Technologies, 3rd Edition

ISBN: 978-1-119-99175-5
950 pages
May 2011
Advanced Wireless Communications and Internet: Future Evolving Technologies, 3rd Edition (1119991757) cover image

Description

The new edition of Advanced Wireless Communications: 4G Cognitive and Cooperative Broadband Technology, 2nd Edition, including the latest developments

In the evolution of wireless communications, the dominant challenges are in the areas of networking and their integration with the Future Internet. Even the classical concept of cellular networks is changing and new technologies are evolving to replace it. To reflect these new trends,Advanced Wireless Communications & INTERNET builds upon the previous volumes, enhancing the existing chapters, and including a number of new topics. Systematically guiding readers from the fundamentals through to advanced areas, each chapter begins with an introductory explanation of the basic problems and solutions followed with an analytical treatment in greater detail.

The most important aspects of new emerging technologies in wireless communications are comprehensively covered including: next generation Internet; cloud computing and network virtualization; economics of utility computing and wireless grids and clouds. This gives readers an essential understanding of the overall environment in which future wireless networks will be operating. Furthermore, a number of methodologies for maintaining the network connectivity, by using tools ranging from genetic algorithms to stochastic geometry and random graphs theory, and a discussion on percolation and connectivity, are also offered. The book includes a chapter on network formation games, covering the general models, knowledge based network formation games, and coalition games in wireless ad hoc networks.

  • Illustrates points throughout using real-life case studies drawn from the author's extensive international experience in the field of telecommunications
  • Fully updated to include the latest developments, key topics covered include: Advanced routing and network coding; Network stability control; Relay-assisted Wireless Networks; Multicommodity flow optimization problems, flow optimization in heterogeneous networks, and dynamic resource allocation in computing clouds
  • Methodically guides readers through each topic from basic to advanced areas
  • Focuses on system elements that provide adaptability and re-configurability, and discusses how these features can improve wireless communications system performance
See More

Table of Contents

Preface to the Third Edition xix

1 Fundamentals 1

1.1 4G and the Book Layout 1

1.2 General Structure of 4G Signals 5

1.3 Next Generation Internet 16

1.4 Cloud Computing and Network Virtualization 18

1.5 Economics of Utility Computing 20

1.6 Drawbacks of Cloud Computing 22

1.7 Wireless Grids and Clouds 24

References 30

2 Adaptive Coding 35

2.1 Adaptive and Reconfigurable Block Coding 35

2.2 Adaptive and Reconfigurable Convolutional Codes 40

2.3 Concatenated Codes with Interleavers 51

2.4 Adaptive Coding, Practice and Prospects 57

2.5 Distributed Source Coding 59

Appendix 2.1 Maximum a Posteriori Detection 69

References 71

3 Adaptive and Reconfigurable Modulation 77

3.1 Coded Modulation 77

3.2 Adaptive Coded Modulation for Fading Channels 86

References 89

4 Space–Time Coding 93

4.1 Diversity Gain 93

4.2 Space–Time Coding 98

4.3 Space–Time Block Codes from Orthogonal Designs 112

4.4 Channel Estimation Imperfections 122

4.5 Quasi-Orthogonal Space–Time Block Codes 123

4.6 Space–Time Convolutional Codes 127

4.7 Algebraic Space–Time Codes 128

4.8 Differential Space–Time Modulation 133

4.9 Multiple Transmit Antenna Differential Detection from Generalized Orthogonal Designs 142

4.10 Layered Space–Time Coding 148

4.11 Concatenated Space–Time Block Coding 157

4.12 Estimation of MIMO Channel 165

4.13 Space–Time Codes for Frequency Selective Channels 168

4.14 Optimization of a MIMO System 174

4.15 MIMO Systems with Constellation Rotation 182

4.16 Diagonal Algebraic Space–Time Block Codes 187

Appendix 4.1 QR Factorization 192

Appendix 4.2 Lattice Code Decoder for Space–Time Codes 194

Appendix 4.3 MIMO Channel Capacity 195

References 200

5 Multiuser Communication 209

5.1 Pseudorandom Sequences 209

5.2 Multiuser CDMA Receivers 220

5.3 Minimum Mean Square Error (MMSE) Linear Multiuser Detection 237

5.4 Single User LMMSE Receivers for Frequency Selective Fading Channels 246

5.5 Signal Subspace-Based Channel Estimation for CDMA Systems 253

5.6 Iterative Receivers for Layered Space–Time Coding 259

Appendix 5.1 Linear and Matrix Algebra 277

References 283

6 Channel Estimation and Equalization 291

6.1 Equalization in the Digital Data Transmission System 291

6.2 LMS Equalizer 297

6.3 Detection for a Statistically Known, Time Varying Channel 301

6.4 LMS-Adaptive MLSE Equalization on Multipath Fading Channels 306

6.5 Adaptive Channel Identification and Data Demodulation 311

6.6 Turbo Equalization 324

6.7 Kalman Filter Based Joint Channel Estimation and Data Detection Over Fading Channels 330

6.8 Equalization Using Higher Order Signal Statistics 335

References 345

7 Orthogonal Frequency Division Multiplexing – OFDM and Multicarrier CDMA 351

7.1 Timing and Frequency Offset in OFDM 351

7.2 Fading Channel Estimation for OFDM Systems 357

7.3 64 DAPSK and 64 QAM Modulated OFDM Signals 363

7.4 Space–Time Coding with OFDM Signals 367

7.5 Layered Space–Time Coding for MIMO OFDM 375

7.6 Space–Time Coded TDMA/OFDM Reconfiguration Efficiency 379

7.7 Multicarrier CDMA System 392

7.8 Multicarrier DS-CDMA Broadcast Systems 396

7.9 Frame By Frame Adaptive Rate Coded Multicarrier DS-CDMA System 399

7.10 Intermodulation Interference Suppression in Multicarrier CDMA Systems 405

7.11 Successive Interference Cancellation in Multicarrier DS-CDMA Systems 409

7.12 MMSE Detection of Multicarrier CDMA 413

7.13 Approximation of Optimum Multiuser Receiver for Space–Time Coded Multicarrier CDMA Systems 419

7.14 Parallel Interference Cancellation in OFDM Systems in Time-Varying Multipath Fading Channels 430

7.15 Zero Forcing OFDM Equalizer in Time-Varying Multipath Fading Channels 437

7.16 Channel Estimation for OFDM Systems Using Multiple Receive Antennas 442

7.17 Turbo Processing for an OFDM-Based MIMO System 445

7.18 PAPR Reduction of OFDM Signals 447

Appendix 7.1 451

References 452

8 UltraWide Band Radio 459

8.1 UWB Multiple Access in a Gaussian Channel 459

8.2 The UWB Channel 462

8.3 UWB System with M-ary Modulation 468

8.4 M-ary PPM UWB Multiple Access 476

8.5 Coded UWB Schemes 483

8.6 Multiuser Detection in UWB Radio 486

8.7 UWB with Space–Time Processing 487

8.8 Beamforming for UWB Radio 492

References 519

9 Linear Precoding for MIMO Channels 523

9.1 Space–Time Precoders and Equalizers for MIMO Channels 523

9.2 Linear Precoding Based on Convex Optimization Theory 530

9.3 Convex Optimization-Theory-Based Beamforming 540

References 561

10 Cognitive Networks 565

10.1 Optimal Channel Sensing in Cognitive Wireless Networks 565

10.2 Optimal Sequential Channel Sensing 568

10.3 Optimal Parallel Multiband Channel Sensing 569

10.4 Collaborative Spectrum Sensing 573

10.5 Multichannel Cognitive MAC 578

References 583

11 Relay-AssistedWireless Networks 585
A. Agustin, J. Vidal,O.Muñoz, and S. Glisic

11.1 Introduction 585

11.2 Background and Related Work 586

11.3 Cooperative Communications 593

11.4 Relay-Assisted Communications 616

11.5 Two-Way Relay-Assisted Communications 646

11.6 Relay-Assisted Communications With Reuse of Resources 651

Appendices 668

12 Biologically Inspired Paradigms inWireless Networks 683

12.1 Biologically Inspired Model for Securing Hybrid Mobile Ad Hoc Networks 683

12.2 Biologically Inspired Routing in Ad Hoc Networks 687

12.3 Analytical Modeling of AntNet as Adaptive Mobile Agent Based Routing 691

12.4 Biologically Inspired Algorithm for Optimum Multicasting 697

12.5 Biologically Inspired (BI) Distributed Topology Control 703

12.6 Optimization of Mobile Agent Routing in Sensor Networks 708

12.7 Epidemic Routing 710

12.8 Nano-Networks 715

12.9 Genetic Algorithm Based Dynamic Topology Reconfiguration in Cellular Multihop Wireless Networks 718

References 739

13 Positioning in Wireless Networks 743

13.1 Mobile Station Location in Cellular Networks 743

13.2 Relative Positioning in Wireless Sensor Networks 753

13.3 Average Performance of Circular and Hyperbolic Geolocation 762

References 771

14 Wireless Networks Connectivity 773

14.1 Survivable Wireless Networks Design 773

14.2 Survivability of Wireless Ad Hoc Networks 776

14.3 Network Dimensioning 777

14.4 Survivable Network Under General Traffic 785

14.5 Stochastic Geometry and Random Graphs Theory 791

References 798

15 Advanced Routing and Network Coding 801

15.1 Conventional Routing Versus Network Coding 801

15.2 A Max-Flow Min-Cut Theorem 803

15.3 Algebraic Formulation of Network Coding 807

15.4 Random Network Coding 811

15.5 Gossip Based Protocol and Network Coding 813

15.6 Network Coding With Reduced Complexity 816

15.7 Multisource Multicast Network Switching 820

15.8 Optimization of Wireless Multicast Ad-Hoc Networks 831

15.9 Optimization of Multicast Wireless Ad-Hoc Network Using Soft Graph Coloring and Non-Linear Cubic Games 843

15.10 Joint Optimization of Routing and Medium Contention in Multihop Multicast Wireless Network 855

15.11 Routing and Network Stability 861

15.12 Lagrangian Decomposition of the Multicomodity Flow Optimization Problem 867

15.13 Flow Optimization in Heterogeneous Networks 868

15.14 Dynamic Resource Allocation in Computing Clouds 879

16 Network Formation Games 887

16.1 General Model of Network Formation Games 887

16.2 Knowledge Based Network Formation Games 893

16.3 Coalition Games in Wireless Ad Hoc Networks 897

16.4 HD Game Based TCP Selection 912

16.4.1 Evolutionary Stable Strategy 914

16.4.2 TCP Protocol Competition in Wireless Networks 918

References 919

Index 923

See More

Author Information

Savo Glisic, Professor of Telecommunications, University of Oulu, Finland
Professor Glisic obtained his PhD from Cranfield Institute of Technology, UK, before pursuing post doctoral studies at the University of California at San Diego, USA. His areas of interest include radio resource management in wireless mobile IP networks, network management, symbol synchronization in digital communications, automatic decision threshold level control (ADTLC) and frequency hopping modulation for wireless ad hoc networks. He has vast international experience in the field of telecommunications and has published prolifically on the subject, including three previous books with Wiley.
See More

Related Titles

Back to Top