ADVANCED WIRELESS COMMUNICATIONS & INTERNET -- Contents -- Preface to the Third Edition -- 1 Fundamentals -- 1.1 4G and the Book Layout -- 1.2 General Structure of 4G Signals -- 1.2.1 Advanced Time Division Multiple Access - ATDMA -- 1.2.2 Code Division Multiple Access - CDMA -- 1.2.3 Orthogonal Frequency Division Multiplexing - OFDM -- 1.2.4 Multicarrier CDMA (MC CDMA) -- 1.2.5 Ultra Wide Band (UWB) Signal -- 1.3 Next Generation Internet -- 1.4 Cloud Computing and Network Virtualization -- 1.5 Economics of Utility Computing -- 1.6 Drawbacks of Cloud Computing -- 1.7 Wireless Grids and Clouds -- References -- 2 Adaptive Coding -- 2.1 Adaptive and Reconfigurable Block Coding -- 2.2 Adaptive and Reconfigurable Convolutional Codes -- 2.2.1 Punctured Convolutional Codes/Code Reconfigurability -- 2.2.2 Maximum Likelihood Decoding/Viterbi Algorithm -- 2.2.3 Systematic Recursive Convolutional Codes -- 2.3 Concatenated Codes with Interleavers -- 2.3.1 The Iterative Decoding Algorithm -- 2.4 Adaptive Coding, Practice and Prospects -- 2.5 Distributed Source Coding -- 2.5.1 Continuous Valued Source -- 2.5.2 Scalar Quantization and Trellis-Based Coset Construction -- 2.5.3 Trellis-Based Quantization and Memoryless Coset Construction -- 2.5.4 Performance Examples -- Appendix 2.1 Maximum a Posteriori Detection -- References -- 3 Adaptive and Reconfigurable Modulation -- 3.1 Coded Modulation -- 3.1.1 Euclidean Distance -- 3.1.2 Examples of TCM Schemes -- 3.1.3 Set Partitioning -- 3.1.4 Representation of TCM -- 3.1.5 TCM with Multidimensional Constellation -- 3.2 Adaptive Coded Modulation for Fading Channels -- 3.2.1 Maintaining a Fixed Distance -- 3.2.2 Information Rate -- References -- 4 Space-Time Coding -- 4.1 Diversity Gain -- 4.1.1 Two-Branch Transmit Diversity Scheme With One Receiver -- 4.1.2 Two Transmitters and M Receivers -- 4.2 Space-Time Coding.

4.2.1 The System Model -- 4.2.2 The Case of Independent Fade Coefficients -- 4.2.3 Rayleigh Fading -- 4.2.4 Design Criteria for Rayleigh Space-Time Codes -- 4.2.5 Code Construction -- 4.2.6 Reconfiguration Efficiency of Space-Time Coding -- 4.2.7 Delay Diversity -- 4.3 Space-Time Block Codes from Orthogonal Designs -- 4.3.1 The Channel Model and the Diversity Criterion -- 4.3.2 Real Orthogonal Designs -- 4.3.3 Space-Time Encoder -- 4.3.4 The Diversity Order -- 4.3.5 The Decoding Algorithm -- 4.3.6 Linear Processing Orthogonal Designs -- 4.3.7 Generalized Real Orthogonal Designs -- 4.3.8 Encoding -- 4.3.9 The Alamouti Scheme -- 4.3.10 Complex Orthogonal Designs -- 4.3.11 Generalized Complex Orthogonal Designs -- 4.3.12 Special Codes -- 4.3.13 Performance Results -- 4.4 Channel Estimation Imperfections -- 4.4.1 Channel Estimator -- 4.5 Quasi-Orthogonal Space-Time Block Codes -- 4.5.1 Decoding -- 4.5.2 Decision Metric -- 4.6 Space-Time Convolutional Codes -- 4.7 Algebraic Space-Time Codes -- 4.7.1 Full Spatial Diversity -- 4.7.2 QPSK Modulation -- 4.8 Differential Space-Time Modulation -- 4.8.1 The Encoding Algorithm -- 4.8.2 Differential Decoding -- 4.9 Multiple Transmit Antenna Differential Detection from Generalized Orthogonal Designs -- 4.9.1 Differential Encoding -- 4.9.2 Received Signal -- 4.9.3 Orthogonality -- 4.9.4 Encoding -- 4.9.5 Differential Decoding -- 4.9.6 Received Signal -- 4.9.7 Demodulation -- 4.9.8 Multiple Receive Antennas -- 4.9.9 The Number of Transmit Antennas Lower than the Number of Symbols -- 4.9.10 Final Result -- 4.9.11 Real Constellation Set -- 4.10 Layered Space-Time Coding -- 4.10.1 Receiver Complexity -- 4.10.2 Group Interference Suppression -- 4.10.3 Suppression Method -- 4.10.4 The Null Space -- 4.10.5 Receiver -- 4.10.6 Decision Metric -- 4.10.7 Multilayered Space-Time Coded Modulation -- 4.10.8 Diversity Gain.

4.10.9 Adaptive Reconfigurable Transmit Power Allocation -- 4.11 Concatenated Space-Time Block Coding -- 4.11.1 System Model -- 4.11.2 Product Sum Distance -- 4.11.3 Error Rate Bound -- 4.11.4 The Case of Low SNR -- 4.11.5 Code Design -- 4.12 Estimation of MIMO Channel -- 4.12.1 System Model -- 4.12.2 Training -- 4.12.3 Performance Measure -- 4.12.4 Definitions -- 4.12.5 Channel Estimation Error -- 4.12.6 Error Statistic -- 4.12.7 Results -- 4.13 Space-Time Codes for Frequency Selective Channels -- 4.13.1 Diversity Gain Properties -- 4.13.2 Coding Gain Properties -- 4.13.3 Space-Time Trellis Code Design -- 4.14 Optimization of a MIMO System -- 4.14.1 The Channel Model -- 4.14.2 Gain Optimization By Singular Value Decomposition (SVD) -- 4.14.3 The General (M, N) Case -- 4.14.4 Gain Optimization By Iteration For a Reciprocal Channel -- 4.14.5 Spectral Efficiency of Parallel Channels -- 4.14.6 Capacity of the (M, N) Array -- 4.15 MIMO Systems with Constellation Rotation -- 4.15.1 System Model -- 4.15.2 Performance in a Rayleigh Fading Channel -- 4.16 Diagonal Algebraic Space-Time Block Codes -- 4.16.1 System Model -- 4.16.2 The DAST Coding Algorithm -- 4.16.3 The DAST Decoding Algorithm -- Appendix 4.1 QR Factorization -- Appendix 4.2 Lattice Code Decoder for Space-Time Codes -- Appendix 4.3 MIMO Channel Capacity -- References -- 5 Multiuser Communication -- 5.1 Pseudorandom Sequences -- 5.1.1 Binary Shift Register Sequences -- 5.1.2 Properties of Binary Maximal Length Sequences -- 5.1.3 Crosscorrelation Spectra -- 5.1.4 Maximal Connected Sets of m-sequences -- 5.1.5 Gold Sequences -- 5.1.6 Gold-Like and Dual-BCH Sequences -- 5.1.7 Kasami Sequences -- 5.1.8 JPL Sequences -- 5.1.9 Kronecker Sequences -- 5.1.10 Walsh Functions -- 5.1.11 Optimum PN Sequences -- 5.1.12 Golay Code -- 5.2 Multiuser CDMA Receivers -- 5.2.1 Synchronous CDMA Channels.

5.2.2 The Decorrelating Detector -- 5.2.3 The Optimum Linear Multiuser Detector -- 5.2.4 Multistage Detection in Asynchronous CDMA [43] -- 5.2.5 Non-Coherent Detector -- 5.2.6 Non-Coherent Detection in Asynchronous Multiuser Channels [45] -- 5.2.7 Multiuser Detection in Frequency Non-Selective Rayleigh Fading Channels -- 5.2.8 Multiuser Detection in Frequency Selective Rayleigh Fading Channels -- 5.3 Minimum Mean Square Error (MMSE) Linear Multiuser Detection -- 5.3.1 System Model in Multipath Fading Channels -- 5.3.2 MMSE Detector Structures -- 5.3.3 Spatial Processing -- 5.4 Single User LMMSE Receivers for Frequency Selective Fading Channels -- 5.4.1 Adaptive Precombining LMMSE Receivers -- 5.4.2 Blind Least Squares Receivers -- 5.4.3 Least Squares (LS) Receiver -- 5.4.4 Method Based on the Matrix Inversion Lemma -- 5.5 Signal Subspace-Based Channel Estimation for CDMA Systems -- 5.5.1 Estimating the Signal Subspace -- 5.5.2 Channel Estimation -- 5.6 Iterative Receivers for Layered Space-Time Coding -- 5.6.1 LST Architectures -- 5.6.2 LST Receivers -- 5.6.3 QR Decomposition/SIC Detector -- 5.6.4 MMSE/SIC Detector -- 5.6.5 Iterative LST Receivers -- Appendix 5.1 Linear and Matrix Algebra -- References -- 6 Channel Estimation and Equalization -- 6.1 Equalization in the Digital Data Transmission System -- 6.1.1 Zero-Forcing Equalizers -- 6.2 LMS Equalizer -- 6.2.1 Signal Model -- 6.2.2 Adaptive Weight Adjustment -- 6.2.3 Automatic Systems -- 6.2.4 Iterative Algorithm -- 6.2.5 The LMS Algorithm -- 6.2.6 Decision Feedback Equalizer (DFE) -- 6.2.7 Blind Equalizers -- 6.3 Detection for a Statistically Known, Time Varying Channel -- 6.3.1 Signal Model -- 6.3.2 Channel Model -- 6.3.3 Statistical Description of the Received Sequence -- 6.3.4 The ML Sequence (Block) Estimator for a Statistically Known Channel.

6.4 LMS-Adaptive MLSE Equalization on Multipath Fading Channels -- 6.4.1 System and Channel Models -- 6.4.2 Adaptive Channel Estimator and LMS Estimator Model -- 6.4.3 The Channel Prediction Algorithm -- 6.5 Adaptive Channel Identification and Data Demodulation -- 6.5.1 System Model -- 6.5.2 Joint Channel and Data Estimation -- 6.5.3 Data Estimation and Tracking for a Fading Channel -- 6.5.4 The Static Channel Environment -- 6.5.5 The Time Varying Channel Environment -- 6.6 Turbo Equalization -- 6.6.1 Signal Format -- 6.6.2 Equivalent Discrete Time Channel Model -- 6.6.3 Equivalent System State Representations -- 6.6.4 Turbo Equalization -- 6.6.5 Viterbi Algorithm -- 6.6.6 Iterative Implementation of Turbo Equalization -- 6.6.7 Performance -- 6.7 Kalman Filter Based Joint Channel Estimation and Data Detection Over Fading Channels -- 6.7.1 Channel Model -- 6.7.2 The Received Signal -- 6.7.3 Channel Estimation Alternatives -- 6.7.4 Implementing the Estimator -- 6.7.5 The Kalman Filter -- 6.7.6 Implementation Issues -- 6.8 Equalization Using Higher Order Signal Statistics -- 6.8.1 Problem Statement -- 6.8.2 Signal Model -- 6.8.3 Derivation of Algorithms for DFE -- 6.8.4 The Equalizer Coefficients -- 6.8.5 Stochastic Gradient DFE Adaptive Algorithms -- 6.8.6 Convergence Analysis -- 6.8.7 Kurtosis-Based Algorithm -- 6.8.8 Performance Results -- References -- 7 Orthogonal Frequency Division Multiplexing - OFDM and Multicarrier CDMA -- 7.1 Timing and Frequency Offset in OFDM -- 7.1.1 Robust Frequency and Timing Synchronization for OFDM -- 7.2 Fading Channel Estimation for OFDM Systems -- 7.2.1 Statistics of Mobile Radio Channels -- 7.2.2 Diversity Receiver -- 7.2.3 MMSE Channel Estimation -- 7.2.4 FIR Channel Estimator -- 7.2.5 System Performance -- 7.2.6 Reference Generation -- 7.3 64 DAPSK and 64 QAM Modulated OFDM Signals.

7.4 Space-Time Coding with OFDM Signals.