Signal Processing Techniques for Power Efficient Wireless Communication Systems (eBook)

Practical Approaches for RF Impairments Reduction
eBook Download: PDF
2019 | 1st ed. 2020
XXI, 258 Seiten
Springer International Publishing (Verlag)
978-3-030-32437-7 (ISBN)

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Signal Processing Techniques for Power Efficient Wireless Communication Systems - Fernando Gregorio, Gustavo González, Christian Schmidt, Juan Cousseau
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This book presents a synthesis of the research carried out in the Laboratory of Signal Processing and Communications (LaPSyC), CONICET, Universidad Nacional del Sur, Argentina, since 2003. It presents models and techniques widely used by the signal processing community, focusing on low-complexity methodologies that are scalable to different applications. It also highlights measures of the performance and impact of each compensation technique. The book is divided into three parts: 1) basic models 2) compensation techniques and 3) applications in advanced technologies. The first part addresses basic architectures of transceivers,  their component blocks and  modulation techniques. It also describes the performance to be taken into account, regardless of the distortions that need to be compensated. In the second part, several schemes of compensation and/or reduction of imperfections are explored, including linearization of power amplifiers, compensation of the characteristics of analog-to- digital converters and CFO compensation for OFDM modulation. The third and last part demonstrates the use of some of these techniques in modern wireless-communication systems, such as full-duplex transmission, massive MIMO schemes and Internet of Things applications.



Prof. Dr. Fernando Gregorio received the B.Sc. degree from the Universidad Tecnologica Nacional (UTN), Bahía Blanca, Argentina, the M.Sc. degree in electrical engineering from the Universidad Nacional del Sur (UNS), Bahía Blanca and the D.Sc. degree in electrical engineering from the Helsinki University of Technology (HUT), Espoo, Finland, in 2007. Since 2008, he has been with the Departamento de Ingenieria Eléctrica y Computadoras at UNS, Argentina. He is currently a Senior Researcher of the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) of Argentina. His research interests include power amplifier nonlinearities and RF imperfection in MIMO-OFDM systems, Massive MIMO and RF energy harvesting.

Dr. Gustavo José González was born in Bahía Blanca, Argentina. He received the B.Sc. degree in 2007, and the Ph.D. degree in 2012 from Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina. In 2007, he joined the Instituto de Investigaciones en Ingeniería Eléctrica and the Departamento de Ingeniería Eléctrica y de Computadoras at UNS. He has been a Researcher with the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) since 2014. His research interests include synchronization and interference analysis for OFDM(A) systems with half- and full-duplex operation mode.

Dr. Christian A. Schmidt received the B.Sc. degree in Electronic Engineering and the Ph.D. degree in Engineering from Universidad Nacional del Sur, Bahía Blanca, Argentina, in 2005 and 2012, respectively. Since 2015, he holds a position as researcher at Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). His research interests include nonlinear dynamic systems modeling and compensation, post-processing techniques for distortion reduction in Analog-to-digital converters, PAPR reduction, and signal processing for communications systems including OFDM, UWB, Full-duplex and massive MIMO.

Prof. Dr. Juan Cousseau received the B.Sc. from the Universidad Nacional del Sur (UNS), Bahia Blanca, Argentina, in 1983, the M.Sc. degree from COPPE/ Universidade Federal do Rio de Janeiro (UFRJ), Brazil, in 1989, and the Ph.D. from COPPE/UFRJ, in 1993, all in electrical engineering. Since 1984, he has been with the undergraduate Department of Electrical and Computer Engineering at UNS. He is a senior researcher of the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) of Argentina. He has been involved in scientific and industry projects with research groups from Argentina, Brazil, Spain, USA, Finland and South Africa. He is coordinator of the Signal Processing and Communication Laboratory (LaPSyC) at UNS. He is Senior member of the IEEE. He was IEEE Circuits and Systems Chair of the Argentine Chapter, from 1997 to 2000, and member of the Executive Committee of the IEEE Circuits and Systems Society during 2000/2001 (Vice-president for Region 9). He participates in the IEEE Signal Processing Society Distinguished Lecturer Program 2006. He is currently Director of 'Instituto de Investigaciones en Ingeniería Eléctrica - Alfredo Desages', CONICET - UNS. His research interests are related to adaptive and statistical signal processing with application to modern broadband wireless communications.

Preface 7
Contents 8
Acronyms 13
3 13
5 13
6 13
A 13
B 14
C 14
D 14
E 14
F 15
G 15
H 15
I 15
K 16
L 16
M 16
N 16
O 17
P 17
Q 17
R 17
S 18
T 18
U 18
W 18
Z 19
Part I Definitions and Models 20
1 Introduction 21
1.1 Motivation: 5G Wireless Systems and Its Requirements 21
1.2 Basic Components of the Communication System 23
1.3 Implementation Issues 25
1.4 Main Contributions of the Book 26
1.5 Outline of the Book 26
References 27
2 Digital Block and RF Front-End Models 28
2.1 Introduction 28
2.2 Metrics for Wireless Communication Systems 30
2.2.1 Link Budget 30
2.2.2 Nonlinearities 31
2.2.3 Noise Figure 33
2.2.4 Error Vector Magnitude 34
2.3 Wireless Channel Models 34
2.3.1 Coherence Bandwidth and Coherence Time 36
2.4 Baseband Block: Multicarrier Modulation 37
2.5 Power Amplifiers: Nonlinear Distortion 39
2.5.1 PAPR and Power Efficiency 40
2.5.2 Power Amplifier Models 42
2.5.2.1 Memoryless Power Amplifier Models 42
2.5.2.2 Power Amplifier Models with Memory 44
2.6 Low Noise Amplifiers 44
2.7 Mixers: Phase and Amplitude Imbalances 45
2.8 Local Oscillator: Phase Noise 47
2.8.1 Millimeter-Wave Phase Noise Modeling 49
2.9 Analog-to-Digital Converters (ADC) 51
2.9.1 ADC: Performance Metrics 51
2.9.2 Metrics of Spectral Purity 52
2.9.3 Transfer Function Linearity Metrics 52
2.10 Digital-to-Analog Converters (DAC) 54
2.10.1 Binary Weighed DAC 54
2.10.2 Segmented DAC 55
2.11 Summary of the Key Points 55
References 55
3 Energy Consumption 58
3.1 Introduction 58
3.2 Energy Efficiency and Spectral Efficiency 59
3.3 Digital Block and Front-End Power Consumption Models 62
3.3.1 Radio Frequency Front-End 62
3.3.2 Baseband Processing 68
3.4 ADC: Power Consumption, Resolution, and Sampling Frequency Trade-Off 71
3.4.1 ADC Figures of Merit and Approximate Power Consumption 72
3.4.2 Lower Bound on Power Consumption for Noise-Limited ADCs 73
3.5 Short-Range and Long-Range Links 74
3.6 Power Consumption Scaling 78
3.6.1 Bandwidth Dependence 79
3.6.2 Number of Antennas 80
3.6.3 Data Rate (Constellation Size) 80
3.7 Energy Efficiency of Digital Compensation Techniques 81
3.8 Summary of the Key Points 83
References 83
Part II Digital Compensation Techniques 87
4 Power Amplifiers 88
4.1 Power Amplifiers and Multicarrier Signals 88
4.1.1 Operation Point: Power Consumption vs Distortion Trade-Off 89
4.2 Linearization Techniques 91
4.3 Figures of Merit: In-Band and Out-of-Band Distortion 93
4.4 Digital Predistortion Techniques 94
4.4.1 Baseband Predistortion Techniques: Implementation Issues 96
4.5 Receiver-Side Compensation Techniques 98
4.5.1 Decision-Aided Reconstruction of Clipped Signals 98
4.5.2 Power Amplifier Nonlinearity Cancellation (PANC) 99
4.6 A Case of Study: Linearization of Class AB and Envelope Tracking PAs 104
4.6.1 Partitioned Predistorter 104
4.6.1.1 Partitioned DPD Parameter Estimation 105
4.6.2 Partitions Allocations 107
4.6.2.1 Input Distribution-Based Partition Allocation 108
4.6.2.2 ? Law Partitions Allocation 110
4.6.2.3 Iterative Partitions Allocation Technique 111
4.6.3 Numerical Evaluation 111
4.7 Summary of the Key Points 115
References 115
5 ADC in Broadband Communications 120
5.1 ADC Architectures 120
5.1.1 Flash: High Conversion Speed, Low Resolution 121
5.1.2 SAR: High Resolution, Low Conversion Speed 122
5.1.3 Sigma-Delta: Higher Resolution with Low Quantization, Oversampling, and Noise Shaping 122
5.1.4 Combined Structures 123
5.1.4.1 Pipelined ADCs: Increased Resolution 123
5.1.4.2 Time-Interleaved ADCs: Increased Sampling Speed 124
5.2 Traditional (Narrowband) Compensation Techniques 124
5.2.1 Integral Nonlinearity and Differential Nonlinearity Models 125
5.2.2 Look-Up Tables 126
5.2.3 Dithering 127
5.3 Novel Compensation Techniques Amenable for Wideband Sampling 128
5.3.1 Model Inversion: Nonlinear Dynamic Models 129
5.3.1.1 Behavioral Model of Continuous-Time ?? Modulators 129
5.3.1.2 Volterra Model and Post-compensation of a Continuous-Time Modulators 133
5.3.1.3 Performance in Post-compensation 135
5.3.2 Wideband Compensation of High-Performance ADCs 137
5.3.3 Mismatch Errors in TIADCs 141
5.3.3.1 Signal Representation 142
5.3.3.2 Off-Line Estimation 143
5.3.3.3 On-Line Estimation 144
5.3.3.4 Compensation 145
5.4 Additional Considerations: Training Signals for Measurement-Based Post-compensation 147
5.5 Summary of Key Points 151
References 151
6 Frequency Offset and Phase Noise 155
6.1 Effects of the CFO and Phase Noise in the System Performance 155
6.1.1 Critical Applications: High Frequency Oscillators and High-Speed Vehicles 156
6.1.2 Effects of Carrier Frequency Offset and Phase Noise in OFDM 158
6.2 Estimation Techniques for the Downlink (Single User Case) 160
6.3 Estimation and Compensation Techniques for the Uplink (Multiuser Case) 165
6.3.1 CFO Compensation for OFDMA 167
6.3.2 CFO Compensation for Multiuser FBMC 170
6.4 Summary of the Key Points 176
References 177
Part III RF Imperfection in Novel Technologies 180
7 Full-Duplex Communication Systems 181
7.1 System Model 181
7.1.1 Full-Duplex Transceivers 182
7.1.2 Full-Duplex Relays 183
7.2 Self-interference Removal 185
7.2.1 Full-Duplex Transceivers with Hardware Impairments 188
7.2.2 Nonlinear Power Amplifier 189
7.2.3 I/Q Imbalance and Optimization of the Power Amplifier Operation Point 192
7.2.4 Influence of Impairments in the System Performance 195
7.3 ADC Resolution Requirements 196
7.4 Energy Efficiency and Spectral Efficiency 199
7.5 Summary of the Key Points 201
References 202
8 Massive MIMO Systems 205
8.1 Introduction 205
8.2 Single-Cell Massive MIMO System 206
8.2.1 Downlink 207
8.2.1.1 Precoding Techniques 207
8.2.2 Uplink 209
8.3 Precoding/Decoding Techniques with Imperfect Channel State Information 209
8.3.1 Channel Non-reciprocity and Antenna Coupling 210
8.3.2 Channel Estimation and Pilot Contamination 213
8.4 RF Front-End Minimum Requirements 215
8.4.1 Low-Resolution ADCs 216
8.4.2 Performance Evaluation of a MaMIMO Uplink with Low-Resolution ADC 218
8.5 Power Consumption Analysis 220
8.6 Summary of the Key Points 226
References 226
9 Internet of Things 229
9.1 IoT Applications and Challenges 229
9.2 IoT Proprietary and/or Licensed Solutions 231
9.2.1 Coverage and Capacity: Shannon and Transmission Bandwidth 236
9.2.2 Maximum Coupling Loss and Maximum Path Loss 238
9.3 NB-IoT: PHY and MAC Characteristics 240
9.3.1 Signals and Channels 242
9.3.2 State Model 243
9.3.3 Coverage, Efficiency, Capacity, Cost 246
9.4 LTE and NB-IoT Coexistence: Interference Due to RF Impairments 249
9.4.1 Modeling Signals and Interference 250
9.4.2 Numerical Results 252
9.5 Summary of the Key Points 254
References 255
10 Final Notes and Novel Issues 258
10.1 5G Implementation Challenges 258
10.1.1 The Combination of Massive MIMO and Full-Duplex 258
10.1.2 Millimeter Wave Wireless Communications 261
10.1.3 Massive MIMO Challenges 263
10.2 Summary of the Book 264
References 265
Index 266

Erscheint lt. Verlag 23.11.2019
Reihe/Serie Signals and Communication Technology
Zusatzinfo XXI, 258 p. 114 illus., 104 illus. in color.
Sprache englisch
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte ADC converters imperfections • CFO phase noise 5G performance degradation • Energy efficiency Massive MIMO • Front-end imperfections • Full-duplex with RF impairments • Power amplifier distortion compensation • Power-efficient implementation wireless systems • RF impairments compensation • RF impairments power efficiency IoT • Self-powered IoT devices
ISBN-10 3-030-32437-0 / 3030324370
ISBN-13 978-3-030-32437-7 / 9783030324377
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