Massive MIMO Detection Algorithm and VLSI Architecture
Massive MIMO Detection Algorithm and VLSI Architecture

Author: Leibo Liu

Publisher: Springer

Published: 2019-02-20

Total Pages: 348

ISBN-13: 9811363625

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This book introduces readers to a reconfigurable chip architecture for future wireless communication systems, such as 5G and beyond. The proposed architecture perfectly meets the demands for future mobile communication solutions to support different standards, algorithms, and antenna sizes, and to accommodate the evolution of standards and algorithms. It employs massive MIMO detection algorithms, which combine the advantages of low complexity and high parallelism, and can fully meet the requirements for detection accuracy. Further, the architecture is implemented using ASIC, which offers high energy efficiency, high area efficiency and low detection error. After introducing massive MIMO detection algorithms and circuit architectures, the book describes the ASIC implementation for verifying the massive MIMO detection. In turn, it provides detailed information on the proposed reconfigurable architecture: the data path and configuration path for massive MIMO detection algorithms, including the processing unit, interconnections, storage mechanism, configuration information format, and configuration method.

Large MIMO Systems
Large MIMO Systems

Author: A. Chockalingam

Publisher: Cambridge University Press

Published: 2014-02-06

Total Pages: 335

ISBN-13: 1107026652

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This exclusive coverage of the opportunities, technological challenges, solutions, and state of the art of large MIMO systems provides an in-depth discussion of algorithms for large MIMO signal processing, suited for large MIMO signal detection, precoding and LDPC code designs. An ideal resource for researchers, designers, developers and practitioners in wireless communications.

Low Complexity MIMO Detection
Low Complexity MIMO Detection

Author: Lin Bai

Publisher: Springer Science & Business Media

Published: 2012-01-08

Total Pages: 251

ISBN-13: 1441985832

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Low Complexity MIMO Detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.

Fundamentals of MIMO Wireless Communications
Fundamentals of MIMO Wireless Communications

Author: Rakhesh Singh Kshetrimayum

Publisher: Cambridge University Press

Published: 2017-04-17

Total Pages: 372

ISBN-13: 1108562035

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Written in an easy-to-follow, tutorial style, this complete guide will allow students to quickly understand the key principles, techniques and applications of MIMO wireless communications. Important concepts such as MIMO channel models, power allocation and channel capacity, space-time codes, MIMO detection and antenna selection are covered in detail, providing practical insights into the world of modern telecommunication systems. The most up-to-date techniques are explained, with examples including spatial modulation, MIMO-based cooperative communications, large-scale MIMO systems, massive MIMO and space-time block coded spatial modulation. Supported by numerous solved examples, review questions, MATLAB problems and lecture slides, and including all the necessary mathematical background, this is an ideal text for students taking graduate, single-semester courses in wireless communications.

Detection Algorithms for Wireless Communications
Detection Algorithms for Wireless Communications

Author: Gianluigi Ferrari

Publisher: John Wiley & Sons

Published: 2005-12-13

Total Pages: 427

ISBN-13: 047085829X

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Wireless channels are becoming more and more important, with the future development of wireless ad-hoc networks and the integration of mobile and satellite communications. To this end, algorithmic detection aspects (involved in the physical layer) will become fundamental in the design of a communication system. This book proposes a unified approach to detection for stochastic channels, with particular attention to wireless channels. The core idea is to show that the three main criteria of sequence detection, symbol detection and graph-based detection, can all be described within a general framework. This implies that a detection algorithm based on one criterion can be extended to the other criteria in a systematic manner. Presents a detailed analysis of statistical signal detection for digital signals transmitted over wireless communications Provides a unifying framework for different signal detection algorithms, such as sequence detection, symbol detection and graph-based detection, important for the design of modern digital receivers operating over mobile channels Features the hot topic of graph-based detection Detection Algorithms for Wireless Communications represents a novel contribution with respect to the current literature, with a unique focus on detection algorithms, as such it will prove invaluable to researchers working in academia and industry and in the field of wireless communications, as well as postgraduate students attending advanced courses on mobile communications.

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication
Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Author: E. S. Gopi

Publisher: Springer Nature

Published: 2021-05-28

Total Pages: 643

ISBN-13: 9811602891

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This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

Space-Time Processing for MIMO Communications
Space-Time Processing for MIMO Communications

Author: Alex Gershman

Publisher: John Wiley & Sons

Published: 2005-08-05

Total Pages: 388

ISBN-13: 0470010037

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Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area. Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization. Includes detailed coverage of wireless channel sounding, modelling, characterization and model validation. Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes. Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO downlink using full or partial CSI. Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe. This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field.