Overview
- Presents a well-organized overview of several years of academic and technical wireless-system-design research
- Provides a detailed introduction to models and techniques to offer alternative solutions to the distortions associated with modern wireless transceivers
- Explores very simple compensation methodologies scalable to different applications
- Examines the implementation of RF distortion compensation approaches in the more challenging context of massive MIMO and full-duplex systems
- Discusses trade-offs between energy consumption and system performance in low-cost Internet of Things devices
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (10 chapters)
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Front Matter
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Part I
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Front Matter
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Part II
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Front Matter
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Part III
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Front Matter
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Back Matter
Keywords
- Front-end imperfections
- Power-efficient implementation wireless systems
- RF impairments compensation
- Full-duplex with RF impairments
- Energy efficiency Massive MIMO
- Self-powered IoT devices
- RF impairments power efficiency IoT
- ADC converters imperfections
- CFO phase noise 5G performance degradation
- Power amplifier distortion compensation
About this book
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 ofthe 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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Signal Processing Techniques for Power Efficient Wireless Communication Systems
Book Subtitle: Practical Approaches for RF Impairments Reduction
Authors: Fernando Gregorio, Gustavo González, Christian Schmidt, Juan Cousseau
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-3-030-32437-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-32436-0Published: 02 December 2019
Softcover ISBN: 978-3-030-32439-1Published: 02 December 2020
eBook ISBN: 978-3-030-32437-7Published: 23 November 2019
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XXI, 258
Number of Illustrations: 10 b/w illustrations, 104 illustrations in colour
Topics: Signal, Image and Speech Processing, Energy Efficiency, Circuits and Systems