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.