Description

Book Synopsis


Table of Contents

Chapter 1 Introduction 1

1.1 Why this Book? 1

1.2 How to Use this Book 2

1.3 Scope 2

1.4 Roadmap 4

1.5 Other Notes 5

Acknowledgments 7

References 8

Chapter 2 Shannon Theorem and Information Theory 9

2.1 Introduction 9

2.2 Reliable Transmission with Noisy Channel 10

2.3 Entropy and Uncertainty 10

2.4 Entropy and Bit Length 14

2.5 Information Measured as Reduction of Uncertainty 18

2.6 Shannon Theorem 21

2.7 Additive White Gaussian Noise (AWGN) Channel 25

2.8 Frequency-Selective Channel and Water Filling 32

2.9 Summary 34

2.10 Appendix: Derivation of Entropy as a Measure of Uncertainty 34

2.11 Appendix: Compression Coding 38

References 43

Homework 43

Chapter 3 Single Carrier Modulation and Nyquist Sampling Theory 45

3.1 Introduction 45

3.2 Symbol Mapping 47

3.3 Nyquist–Shannon Sampling Theory 58

3.4 Pulse Shaping and Nyquist Criterion 69

3.5 Implementation of Pulse Shaping Filter: Up-Sampling 74

3.6 Baseband and Passband 76

3.7 Summary 85

3.8 Appendix: Fourier Transform 87

3.9 Appendix: Function Localization in Frequency and Time Domains 91

3.10 Appendix: Proof of the Nyquist Criterion 96

References 98

Homework 99

Chapter 4 Statistical Detection and Error Probability 101

4.1 Introduction 101

4.2 Wide-Sense Stationary (WSS) Process 102

4.3 AWGN Channel 108

4.4 Detection Problem and Maximum Likelihood Detection 115

4.5 Map and ML Detection with AWGN Channel 119

4.6 Matched Filter (MF) 122

4.7 Error Probability of Uncoded Modulations Under AWGN Model 137

4.8 Summary 146

4.9 Appendix: PSD of Modulated Signals 148

4.10 Appendix: Baseband Noise 151

4.11 Appendix: Representing Signals and Noises with Vectors 154

References 159

Homework 160

Chapter 5 Channel Coding 163

5.1 Introduction 163

5.2 Channel Coding or Forward Error Correction (FEC) 164

5.3 Block Code 169

5.4 Convolutional Code 182

5.5 Coding for Bandwidth-Limited Channels and Trellis-Coded Modulation (TCM) 203

5.6 Combined Codes 211

5.7 Turbo Code 213

5.8 Low-Density Parity-Check (LDPC) Code 225

5.9 Summary 231

5.10 Appendix: Upper Bound of Shaping Gain 233

5.11 Appendix: Probability Update at Parity Node 234

References 235

Homework 238

Chapter 6 Channel Characteristics 241

6.1 Introduction 241

6.2 Channel Gain and Channel Classification 243

6.3 Constant Flat Channels 246

6.4 Flat Fading Channel 252

6.5 Time Dispersion and Frequency-Selective Fading 262

6.6 Channel Formulation in Frequency and Time Domains 265

6.7 Channel Modeling Methods 270

6.8 Link Budget Computation 273

6.9 Summary 282

6.10 Appendix: Channel Gain in Passband and Baseband 284

References 286

Homework 288

Chapter 7 Synchronization 291

7.1 Introduction 291

7.2 Synchronization Overview 293

7.3 Timing Control and Correction 299

7.4 Timing Error Estimate 311

7.5 Initial Acquisition 325

7.6 Summary 328

References 329

Homework 330

Chapter 8 Adaptive Filter 333

8.1 Introduction 333

8.2 Adaptive Filter Overview 335

8.3 Optimal Solution 337

8.4 Iterative Solution: Speediest Descent (SD) 339

8.5 Sample-by-Sample Adaptation: Least Mean Squares (LMS) Algorithm 343

8.6 Block-Based Adaptation: Least Squares (LS) Algorithm 347

8.7 Block-Based Iteration: Recursive Least Squares (RLS) Algorithm 350

8.8 Case Study: Full-Duplex Radio and Self-Interference Cancellation 355

8.9 Summary 359

References 360

Homework 360

Chapter 9 Channel Equalization 363

9.1 Introduction 363

9.2 Channel Dispersion Formulation 365

9.3 Maximum Likelihood Sequence Estimation (MLSE) 370

9.4 Linear Equalizer (LE) 371

9.5 Decision Feedback Equalizer (DFE) 387

9.6 Tomlinson–Harashima Precoding (THP) 411

9.7 Fractionally Spaced Equalizers 419

9.8 Summary 420

9.9 Appendix: Z-Transform and Related Results 422

9.10 Appendix: Optimization of Functions with Complex Variables 431

9.11 Appendix: Optimal Solution of Zero Forcing Linear Equalizer 434

9.12 Appendix: Gain of an MMSE Equalizer 439

9.13 Appendix: Detailed Derivation of Finite-Length DFE 440

References 449

Homework 451

Chapter 10 Orthogonal Frequency Division Multiplexing (OFDM) 453

10.1 Introduction 453

10.2 OFDM Formulation 455

10.3 Time Domain Equalization 475

10.4 OFDM Advantages and Enhancements 477

10.5 Receiver Training and Adaptation 480

10.6 Implementation Issues 491

10.7 Orthogonal Frequency Division Multiple Access (OFDMA) 495

10.8 Filter Bank Multicarrier (FBMC) Modulation 497

10.9 Summary 499

References 500

Homework 504

Chapter 11 Multiple-Input Multiple-Output (MIMO) Technology 505

11.1 Introduction 505

11.2 MIMO Overview 506

11.3 A Simple Case of Mimo: Multibeam Transmission 507

11.4 Spatial Multiplexing: Bell Laboratories Layered Space-Time (BLAST) 518

11.5 Spatial Diversity: Space-Time Coding 525

11.6 Theoretical Treatments of MIMO Techniques 530

11.7 Other Forms of MIMO 543

11.8 Areas of Further Exploration 545

11.9 MIMO Applications 549

11.10 Summary 555

11.11 Appendix: Successive Cancellation (SC) Formulation 556

11.12 Appendix: Derivation of MIMO Channel Capacity for Fixed Channel 564

References 567

Homework 571

Chapter 12 5G Cellular System Radio Interface Technology 573

12.1 Introduction 573

12.2 Cellular Systems 573

12.3 The 5G System 578

12.4 Highlights of 3GPP Proposal 579

12.5 5G Physical Layer Technologies 583

12.6 Summary 606

References 607

Homework 614

Chapter 13 Closing Remarks and Further Exploration 615

13.1 Introduction 615

13.2 Analog Circuitry 615

13.3 Software-Defined Radio (SDR) 616

13.4 Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) 617

13.5 Ultrawide Band (UWB) 620

13.6 Relaying and Cooperative Communications 620

13.7 Code Division Multiple Access (CDMA) 621

13.8 Interference Management 622

13.9 Other Modulation Schemes 623

13.10 Optical Communications 623

13.11 Green Communications 624

13.12 Applications of Artificial Intelligence (AI) 625

13.13 Application of Game Theory 625

13.14 Security 625

13.15 Network Coding 626

13.16 Summary 628

References 628

Index 637

Digital Communication for Practicing Engineers

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    A Hardback by Feng Ouyang

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      View other formats and editions of Digital Communication for Practicing Engineers by Feng Ouyang

      Publisher: John Wiley & Sons Inc
      Publication Date: 01/11/2019
      ISBN13: 9781119418009, 978-1119418009
      ISBN10: 1119418003

      Description

      Book Synopsis


      Table of Contents

      Chapter 1 Introduction 1

      1.1 Why this Book? 1

      1.2 How to Use this Book 2

      1.3 Scope 2

      1.4 Roadmap 4

      1.5 Other Notes 5

      Acknowledgments 7

      References 8

      Chapter 2 Shannon Theorem and Information Theory 9

      2.1 Introduction 9

      2.2 Reliable Transmission with Noisy Channel 10

      2.3 Entropy and Uncertainty 10

      2.4 Entropy and Bit Length 14

      2.5 Information Measured as Reduction of Uncertainty 18

      2.6 Shannon Theorem 21

      2.7 Additive White Gaussian Noise (AWGN) Channel 25

      2.8 Frequency-Selective Channel and Water Filling 32

      2.9 Summary 34

      2.10 Appendix: Derivation of Entropy as a Measure of Uncertainty 34

      2.11 Appendix: Compression Coding 38

      References 43

      Homework 43

      Chapter 3 Single Carrier Modulation and Nyquist Sampling Theory 45

      3.1 Introduction 45

      3.2 Symbol Mapping 47

      3.3 Nyquist–Shannon Sampling Theory 58

      3.4 Pulse Shaping and Nyquist Criterion 69

      3.5 Implementation of Pulse Shaping Filter: Up-Sampling 74

      3.6 Baseband and Passband 76

      3.7 Summary 85

      3.8 Appendix: Fourier Transform 87

      3.9 Appendix: Function Localization in Frequency and Time Domains 91

      3.10 Appendix: Proof of the Nyquist Criterion 96

      References 98

      Homework 99

      Chapter 4 Statistical Detection and Error Probability 101

      4.1 Introduction 101

      4.2 Wide-Sense Stationary (WSS) Process 102

      4.3 AWGN Channel 108

      4.4 Detection Problem and Maximum Likelihood Detection 115

      4.5 Map and ML Detection with AWGN Channel 119

      4.6 Matched Filter (MF) 122

      4.7 Error Probability of Uncoded Modulations Under AWGN Model 137

      4.8 Summary 146

      4.9 Appendix: PSD of Modulated Signals 148

      4.10 Appendix: Baseband Noise 151

      4.11 Appendix: Representing Signals and Noises with Vectors 154

      References 159

      Homework 160

      Chapter 5 Channel Coding 163

      5.1 Introduction 163

      5.2 Channel Coding or Forward Error Correction (FEC) 164

      5.3 Block Code 169

      5.4 Convolutional Code 182

      5.5 Coding for Bandwidth-Limited Channels and Trellis-Coded Modulation (TCM) 203

      5.6 Combined Codes 211

      5.7 Turbo Code 213

      5.8 Low-Density Parity-Check (LDPC) Code 225

      5.9 Summary 231

      5.10 Appendix: Upper Bound of Shaping Gain 233

      5.11 Appendix: Probability Update at Parity Node 234

      References 235

      Homework 238

      Chapter 6 Channel Characteristics 241

      6.1 Introduction 241

      6.2 Channel Gain and Channel Classification 243

      6.3 Constant Flat Channels 246

      6.4 Flat Fading Channel 252

      6.5 Time Dispersion and Frequency-Selective Fading 262

      6.6 Channel Formulation in Frequency and Time Domains 265

      6.7 Channel Modeling Methods 270

      6.8 Link Budget Computation 273

      6.9 Summary 282

      6.10 Appendix: Channel Gain in Passband and Baseband 284

      References 286

      Homework 288

      Chapter 7 Synchronization 291

      7.1 Introduction 291

      7.2 Synchronization Overview 293

      7.3 Timing Control and Correction 299

      7.4 Timing Error Estimate 311

      7.5 Initial Acquisition 325

      7.6 Summary 328

      References 329

      Homework 330

      Chapter 8 Adaptive Filter 333

      8.1 Introduction 333

      8.2 Adaptive Filter Overview 335

      8.3 Optimal Solution 337

      8.4 Iterative Solution: Speediest Descent (SD) 339

      8.5 Sample-by-Sample Adaptation: Least Mean Squares (LMS) Algorithm 343

      8.6 Block-Based Adaptation: Least Squares (LS) Algorithm 347

      8.7 Block-Based Iteration: Recursive Least Squares (RLS) Algorithm 350

      8.8 Case Study: Full-Duplex Radio and Self-Interference Cancellation 355

      8.9 Summary 359

      References 360

      Homework 360

      Chapter 9 Channel Equalization 363

      9.1 Introduction 363

      9.2 Channel Dispersion Formulation 365

      9.3 Maximum Likelihood Sequence Estimation (MLSE) 370

      9.4 Linear Equalizer (LE) 371

      9.5 Decision Feedback Equalizer (DFE) 387

      9.6 Tomlinson–Harashima Precoding (THP) 411

      9.7 Fractionally Spaced Equalizers 419

      9.8 Summary 420

      9.9 Appendix: Z-Transform and Related Results 422

      9.10 Appendix: Optimization of Functions with Complex Variables 431

      9.11 Appendix: Optimal Solution of Zero Forcing Linear Equalizer 434

      9.12 Appendix: Gain of an MMSE Equalizer 439

      9.13 Appendix: Detailed Derivation of Finite-Length DFE 440

      References 449

      Homework 451

      Chapter 10 Orthogonal Frequency Division Multiplexing (OFDM) 453

      10.1 Introduction 453

      10.2 OFDM Formulation 455

      10.3 Time Domain Equalization 475

      10.4 OFDM Advantages and Enhancements 477

      10.5 Receiver Training and Adaptation 480

      10.6 Implementation Issues 491

      10.7 Orthogonal Frequency Division Multiple Access (OFDMA) 495

      10.8 Filter Bank Multicarrier (FBMC) Modulation 497

      10.9 Summary 499

      References 500

      Homework 504

      Chapter 11 Multiple-Input Multiple-Output (MIMO) Technology 505

      11.1 Introduction 505

      11.2 MIMO Overview 506

      11.3 A Simple Case of Mimo: Multibeam Transmission 507

      11.4 Spatial Multiplexing: Bell Laboratories Layered Space-Time (BLAST) 518

      11.5 Spatial Diversity: Space-Time Coding 525

      11.6 Theoretical Treatments of MIMO Techniques 530

      11.7 Other Forms of MIMO 543

      11.8 Areas of Further Exploration 545

      11.9 MIMO Applications 549

      11.10 Summary 555

      11.11 Appendix: Successive Cancellation (SC) Formulation 556

      11.12 Appendix: Derivation of MIMO Channel Capacity for Fixed Channel 564

      References 567

      Homework 571

      Chapter 12 5G Cellular System Radio Interface Technology 573

      12.1 Introduction 573

      12.2 Cellular Systems 573

      12.3 The 5G System 578

      12.4 Highlights of 3GPP Proposal 579

      12.5 5G Physical Layer Technologies 583

      12.6 Summary 606

      References 607

      Homework 614

      Chapter 13 Closing Remarks and Further Exploration 615

      13.1 Introduction 615

      13.2 Analog Circuitry 615

      13.3 Software-Defined Radio (SDR) 616

      13.4 Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) 617

      13.5 Ultrawide Band (UWB) 620

      13.6 Relaying and Cooperative Communications 620

      13.7 Code Division Multiple Access (CDMA) 621

      13.8 Interference Management 622

      13.9 Other Modulation Schemes 623

      13.10 Optical Communications 623

      13.11 Green Communications 624

      13.12 Applications of Artificial Intelligence (AI) 625

      13.13 Application of Game Theory 625

      13.14 Security 625

      13.15 Network Coding 626

      13.16 Summary 628

      References 628

      Index 637

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