: Fernando Gregorio, Gustavo González, Christian Schmidt, Juan Cousseau
: Signal Processing Techniques for Power Efficient Wireless Communication Systems Practical Approaches for RF Impairments Reduction
: Springer-Verlag
: 9783030324377
: 1
: CHF 85.80
:
: Elektronik, Elektrotechnik, Nachrichtentechnik
: English
: 269
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

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,  thei 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.

Pro . 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.

Preface7
Contents8
Acronyms13
313
513
613
A13
B14
C14
D14
E14
F15
G15
H15
I15
K16
L16
M16
N16
O17
P17
Q17
R17
S18
T18
U18
W18
Z19
Part I Definitions and Models20
1 Introduction21
1.1 Motivation: 5G Wireless Systems and Its Requirements21
1.2 Basic Components of the Communication System23
1.3 Implementation Issues25
1.4 Main Contributions of the Book26
1.5 Outline of the Book26
References27
2 Digital Block and RF Front-End Models28
2.1 Introduction28
2.2 Metrics for Wireless Communication Systems30
2.2.1 Link Budget30
2.2.2 Nonlinearities31
2.2.3 Noise Figure33
2.2.4 Error Vector Magnitude34
2.3 Wireless Channel Models34
2.3.1 Coherence Bandwidth and Coherence Time36
2.4 Baseband Block: Multicarrier Modulation37
2.5 Power Amplifiers: Nonlinear Distortion39
2.5.1 PAPR and Power Efficiency40
2.5.2 Power Amplifier Models42
2.5.2.1 Memoryless Power Amplifier Models42
2.5.2.2 Power Amplifier Models with Memory44
2.6 Low Noise Amplifiers44
2.7 Mixers: Phase and Amplitude Imbalances45
2.8 Local Oscillator: Phase Noise47
2.8.1 Millimeter-Wave Phase Noise Modeling49
2.9 Analog-to-Digital Converters (ADC)51
2.9.1 ADC: Performance Metrics51
2.9.2 Metrics of Spectral Purity52
2.9.3 Transfer Function Linearity Metrics52
2.10 Digital-to-Analog Converters (DAC)54
2.10.1 Binary Weighed DAC54
2.10.2 Segmented DAC55
2.11 Summary of the Key Points55
References55
3 Energy Consumption58
3.1 Introduction58
3.2 Energy Efficiency and Spectral Efficiency59
3.3 Digital Block and Front-End Power Consumption Models62
3.3.1 Radio Frequency Front-End62
3.3.2 Baseband Processing68
3.4 ADC: Power Consumption, Resolution, and Sampling Frequency Trade-Off71
3.4.1 ADC Figures of Merit and Approximate Power Consumption72
3.4.2 Lower Bound on Power Consumption for Noise-Limited ADCs73
3.5 Short-Range and Long-Range Links74
3.6 Power Consumption Scaling78
3.6.1 Bandwidth Dependence79
3.6.2 Number of Antennas80
3.6.3 Data Rate (Constellation Size)80
3.7 Energy Efficiency of Digital Compensation Techniques81
3.8 Summary of the Key Points83
References83
Part II Digital Compensation Techniques87
4 Power Amplifiers88
4.1 Power Amplifiers and Multicarrier Signals88
4.1.1 Operation Point: Power Consumption vs Distortion Trade-Off89
4.2 Linearization Techniques91
4.3 Figures of Merit: In-Band and Out-of-Band Distortion93
4.4 Digital Predistortion Techniques94
4.4.1 Baseband Predistortion Techniques: Implementation Issues96
4.5 Receiver-Side Compensation Techniques98
4.5.1 Decision-Aided Reconstruction of Clipped Signals98
4.5.2 Power Amplifier Nonlinearity Cancellation (PANC)99
4.6 A Case of Study: Linearization of Class AB and Envelope Tracking PAs104
4.6.1 Partitioned Predistorter104
4.6.1.1 Partitioned DPD Parameter Estimation105
4.6.2 Partitions Allocations107
4.6.2.1 Input Distribution-Based Partition Allocation108
4.6.2.2 ? Law Partitions Allocation110
4.6.2.3 Iterative Partitions Allocation Technique111
4.6.3 Numerical Evalua