Gregorio, Fernando. <br/><br/>
Signal Processing Techniques for Power Efficient Wireless Communication Systems  Practical Approaches for RF Impairments Reduction  /  [electronic resource] : 
by Fernando Gregorio, Gustavo González, Christian Schmidt, Juan Cousseau. 
 - 1st ed. 2020. 
 - XXI, 258 p. 114 illus., 104 illus. in color.  online resource. 
 - Signals and Communication Technology,  1860-4870 .
 - Signals and Communication Technology, .
<br/><br/>Chapter1: Introduction -- Chapter2: Digital block and RF front-end models -- Chapter3: Energy consumption -- Chapter4: Power amplifiers -- Chapter5: ADC in broadband communications -- Chapter6: Frequency offset and phase noise -- Chapter7: Full-duplex communication systems -- Chapter8: Massive MIMO systems -- Chapter9: Internet of things -- Chapter10: Final notes and novel issues. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030324377 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-32437-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Signal processing.<br/>Energy policy.<br/>Energy and state.<br/>Electronic circuits.<br/>Signal, Speech and Image Processing .<br/>Energy Policy, Economics and Management.<br/>Electronic Circuits and Systems.
<br/><br/><label>LC Class. No.: </label>TK5102.9 
<br/><br/><label>Dewey Class. No.: </label>621.382