Baseband Receiver Design for Wireless MIMO-OFDM Communications (2^nd Ed.)
IEEE Press Series

The Second Edition of OFDM Baseband Receiver Design for Wirless Communications, this book expands on the earlier edition with enhanced coverage of MIMO techniques, additional baseband algorithms, and more IC design examples. The authors cover the full range of OFDM technology, from theories and algorithms to architectures and circuits.

The book gives a concise yet comprehensive look at digital communication fundamentals before explaining signal processing algorithms in receivers. The authors give detailed treatment of hardware issues - from architecture to IC implementation.

• Links OFDM and MIMO theory with hardware implementation
• Enables the reader to transfer communication received concepts into hardware; design wireless receivers with acceptable implemntation loss; achieve low-power designs
• Covers the latest standards, such as DVB-T2, WiMax, LTE and LTE-A
• Includes more baseband algorithms, like soft-decoding algorithms such as BCJR and SOVA
• Expanded treatment of channel models, detection algorithms and MIMO techniques
• Features concrete design examples of WiMAX systems and cognitive radio apllications
• Companion website with lecture slides for instructors

Based on materials developed for a course in digital communication IC design, this book is ideal for graduate students and researchers in VLSI design, wireless communications, and communications signal processing. Practicing engineers working on algorithms or hardware for wireless communications devices will also find this to be a key reference.

Preface xiii

About the Authors xvii

Acknowledgements xix

List of Abbreviations and Acronyms xxi

Part One: Fundamentals of Wireless Communication

1. Introduction 3

1.1 Digital Broadcasting Systems 3

1.1.1 Digital Audio Broadcasting (DAB) 4

1.1.2 Digital Video Broadcasting (DVB) 4

1.2 Mobile Cellular Systems 6

1.2.1 Carrier Aggregation 8

1.2.2 Multiple-Antenna Configuration 8

1.2.3 Relay Transmission 9

1.2.4 Coordinated Multipoint Transmission and Reception (CoMP) 9

1.3 Wireless Network Systems 10

1.3.1 Personal Area Network (PAN) 10

1.3.2 Local Area Network (LAN) 12

1.3.3 Metropolitan Area Network (MAN) 13

1.3.4 Wide Area Network (WAN) 14

Summary 14

References 15

2. Digital Modulation 17

2.1 Single-Carrier Modulation 17

2.1.1 Power Spectral Densities of Modulation Signals 18

2.1.2 PSK, QAM, and ASK 19

2.1.3 CPFSK and MSK 22

2.1.4 Pulse Shaping and Windowing 23

2.2 Multi-Carrier Modulation 24

2.2.1 Orthogonal Frequency-Division Multiplexing 27

2.2.2 OFDM Related Issues 27

2.2.3 OFDM Transceiver Architecture 31

2.3 Adaptive OFDM 33

Summary 37

References 37

3. Advanced Wireless Technology 39

3.1 Multiple-Input Multiple-Output (MIMO) 39

3.1.1 Introduction 39

3.1.2 MIMO Basics 41

3.1.3 MIMO Techniques 43

3.1.4 MIMO-OFDM System Example 50

3.2 Multiple Access 53

3.2.1 Frequency-Division Multiple Access (FDMA) 54

3.2.2 Time-Division Multiple Access (TDMA) 54

3.2.3 Code-Division Multiple Access (CDMA) 55

3.2.4 Carrier Sense Multiple Access (CSMA) 57

3.2.5 Orthogonal Frequency-Division Multiple Access (OFDMA) 57

3.2.6 Space-Division Multiple Access (SDMA) 58

3.3 Spread Spectrum and CDMA 59

3.3.1 PN Codes 60

3.3.2 Direct-Sequence Spread Spectrum 63

3.3.3 Frequency-Hopping Spread Spectrum 65

Summary 66

References 67

4. Error-Correcting Codes 69

4.1 Introduction 69

4.2 Block Codes 70

4.2.1 Linear Codes 70

4.2.2 Cyclic Codes 72

4.3 Reed–Solomon Codes 73

4.3.1 Finite Fields 74

4.3.2 Encoding 75

4.3.3 Decoding 76

4.3.4 Shortened Reed–Solomon Codes 76

4.4 Convolutional Codes 77

4.4.1 Encoding 77

4.4.2 Viterbi Decoder 79

4.4.3 Punctured Convolutional Codes 80

4.5 Soft-Input Soft-Output Decoding Algorithms 81

4.5.1 MAP Decoder 82

4.5.2 Log-MAP Decoder 85

4.5.3 Max-Log-MAP Decoder 86

4.6 Turbo Codes 87

4.6.1 Encoding 87

4.6.2 Decoding 88

4.7 Low-Density Parity-Check Codes 89

4.7.1 Encoding 89

4.7.2 Decoding 91

Summary 93

References 94

5. Signal Propagation and Channel Model 95

5.1 Introduction 95

5.2 Wireless Channel Propagation 96

5.2.1 Path Loss and Shadowing 96

5.2.2 Multipath Fading 97

5.2.3 Multipath Channel Parameters 98

5.2.4 MIMO Channel 104

5.3 Front-End Electronics Effects 105

5.3.1 Carrier Frequency Offset 105

5.3.2 Sampling Clock Offset 106

5.3.3 Phase Noise 106

5.3.4 IQ Imbalance and DC Offset 107

5.3.5 Power Amplifier Nonlinearity 110

5.4 Channel Model 111

5.4.1 Model for Front-End Impairments 112

5.4.2 Multipath Rayleigh Fader Model 113

5.4.3 Channel Models Used in Standards 116

Summary 122

References 123

Part Two: MIMO-OFDM Receiver Processing

6. Synchronization 127

6.1 Introduction 127

6.2 Synchronization Issues 128

6.2.1 Synchronization Errors 128

6.2.2 Effects of Synchronization Errors 128

6.2.3 Consideration for Estimation and Compensation 133

6.3 Detection and Estimation of Synchronization Errors 134

6.3.1 Symbol Timing Detection 134

6.3.2 Carrier Frequency Offset Estimation 143

6.3.3 Residual CFO and SCO Estimation 147

6.3.4 Carrier Phase Estimation 149

6.3.5 IQ Imbalance Estimation 150

6.4 Detection and Estimation of Synchronization Errors in MIMO-OFDM Systems 153

6.4.1 Symbol Timing Detection in MIMO-OFDM Systems 153

6.4.2 Carrier Frequency Offset Estimation in MIMO-OFDM Systems 155

6.4.3 Residual CFO and SCO Estimation in MIMO-OFDM Systems 156

6.4.4 Carrier Phase Estimation in MIMO-OFDM Systems 157

6.4.5 IQ Imbalance Estimation in MIMO-OFDM Systems 157

6.5 Recovery of Synchronization Errors 158

6.5.1 Carrier Frequency Offset Compensation 158

6.5.2 Sampling Clock Offset and Common Phase Error Compensation 160

6.5.3 IQ Imbalance Compensation 163

Summary 163

References 164

7. Channel Estimation and Equalization 167

7.1 Introduction 167

7.2 Pilot Pattern 168

7.2.1 Pilot Pattern in SISO-OFDM Systems 168

7.2.2 Pilot Pattern in MIMO-OFDM Systems 171

7.3 SISO-OFDM Channel Estimation 174

7.3.1 Channel Estimation by Block-Type Pilot Symbols 177

7.3.2 Channel Estimation by Comb-Type Pilot Symbols 179

7.3.3 Channel Estimation by Grid-Type Pilot Symbols 186

7.4 MIMO-OFDM Channel Estimation 191

7.4.1 Space–Time Pilot 191

7.5 Adaptive Channel Estimation 194

7.6 Equalization 195

7.6.1 One-Tap Equalizer 195

7.6.2 Multi-Tap Equalizer 198

7.7 Iterative Receiver 204

7.7.1 Iterative Synchronization and Channel Estimation 205

7.7.2 Bit-Interleaved Coded Modulation with Iterative Decoding (BICM-ID) 205

Summary 206

References 207

8. MIMO Detection 209

8.1 Introduction 209

8.2 Linear Detection 210

8.2.1 Zero Forcing (ZF) 210

8.2.2 Minimum Mean Squared Error (MMSE) 211

8.3 MIMO Detection with Channel Preprocessing 212

8.3.1 Sorting 212

8.3.2 QR Decomposition 213

8.3.3 MMSE-SQRD 215

8.3.4 Ordered Successive Interference Cancelation (OSIC) 216

8.3.5 Lattice Reduction (LR) 218

8.4 Sphere Decoder 220

8.4.1 Depth-First Tree Search 221

8.4.2 Breadth-First Tree Search 223

8.4.3 Best-First Tree Search 224

8.4.4 Complexity Measurement 227

8.4.5 Design Space Exploration of Sphere Decoder 227

8.5 Soft-Output Sphere Decoder 230

8.5.1 Repeated Tree Search 231

8.5.2 Single Tree Search 232

8.5.3 LLR Clipping 232

8.6 Iterative MIMO Detection 234

8.6.1 List Sphere Decoder 234

8.6.2 Soft-Input Soft-Output Sphere Decoder 235

8.6.3 Iterative SIC-MMSE Detection 237

8.7 Precoding 239

8.7.1 Beam Steering 239

8.7.2 Spatial Decorrelation 241

8.7.3 Limited Feedback 244

8.8 Space Block Code 246

Summary 247

References 248

Part Three: Hardware Design for MIMO-OFDM Receivers

9. Circuit Techniques 253

9.1 Introduction 253

9.2 Fast Fourier Transform Modules 253

9.2.1 FFT Algorithms 254

9.2.2 Architecture 259

9.2.3 Comparison 264

9.3 Delay Buffer 267

9.3.1 SRAM/Register File-Based Delay Buffer 267

9.3.2 Pointer-Based Delay Buffer 268

9.3.3 Gated Clock Strategy 269

9.3.4 Comparison 272

9.4 Circuits for Rectangular-to-Polar Conversion 274

9.4.1 Arctangent Function 274

9.4.2 Magnitude Function 279

9.4.3 Comparison 286

9.5 Circuits for Polar-to-Rectangular Conversion 286

9.5.1 Trigonometric Approximation 287

9.5.2 Polynomial Approximation 288

9.5.3 Comparison 290

Summary 290

References 291

10. MIMO IC Design Examples 293

10.1 Introduction 293

10.2 QR Decomposition IC 294

10.2.1 System Description 294

10.2.2 Algorithm Design 295

10.2.3 Architecture Design 300

10.2.4 Experimental Results 303

10.3 8 × 8 Soft-Output Sphere Decoder 306

10.3.1 Block Description 306

10.3.2 Algorithm Design 306

10.3.3 Architecture Design 307

10.3.4 Experimental Results 316

Summary 318

References 319

11. Mobile MIMO WiMAX System-on-Chip Design 321

11.1 Introduction of WiMAX Standard 321

11.2 Mobile WiMAX OFDMA and Frame Structure 322

11.3 WiMAX Baseband Receiver Design 325

11.3.1 Automatic Gain Control (AGC) 325

11.3.2 Packet Detection (PKD) 326

11.3.3 Symbol Timing Recovery (STR) 328

11.3.4 Carrier Frequency Offset (CFO) Compensation 328

11.3.5 Channel Estimation 330

11.3.6 MIMO Detection 330

11.3.7 Outer Receiver 333

11.4 WiMAX Media Access Control (MAC) Design 333

11.5 Implementation and Field Trial of the WiMAX SoC 336

11.5.1 Laboratory Testing and Performance Evaluation 338

11.5.2 Taiwan High Speed Rail Field Trial 340

Summary 341

References 341

Index 343

Pei-Yun Tsai, National Central University, Taiwan
Pei-Yun Tsai is an Assistant Professor in Electrical Engineering at National Central University. Her research interests are digital baseband communication algorithms, MIMO techniques, and low-power IC/architecture implementation for telecommunications receivers. Tsai has won a number chipset design awards. She holds a B.S, M.S. and PhD in electrical engineering from National Taiwan University.

I-Wei Lai, National Taiwan University, Taiwan
I-Wei Lai is with the Microsystem Research Lab at National Taiwan University. His research interests include baseband signal processing algorithms and VLSI design.