Low Complexity Mimo Detection

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Low Complexity Mimo Detection
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Author : Lin Bai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-07
Low Complexity Mimo Detection written by Lin Bai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-07 with Technology & Engineering categories.
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.
Low Complexity Mimo Detection Algorithm
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Author : Igor Jelovčan
language : en
Publisher:
Release Date : 2007
Low Complexity Mimo Detection Algorithm written by Igor Jelovčan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Low Complexity Mimo Detection
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Author : Lin Bai
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-08
Low Complexity Mimo Detection written by Lin Bai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-08 with Technology & Engineering categories.
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.
Low Complexity Mimo Receivers
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Author : Lin Bai
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-03-13
Low Complexity Mimo Receivers written by Lin Bai and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-13 with Technology & Engineering categories.
Multiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be prohibitively high. As an efficient mathematical tool to devise low complexity approaches that mitigate the interference in MIMO systems, lattice reduction (LR) has been widely studied and employed over the last decade. The co-authors of this book are world's leading experts on MIMO receivers, and here they share the key findings of their research over years. They detail a range of key techniques for receiver design as multiple transmitted and received signals are available. The authors first introduce the principle of signal detection and the LR in mathematical aspects. They then move on to discuss the use of LR in low complexity MIMO receiver design with respect to different aspects, including uncoded MIMO detection, MIMO iterative receivers, receivers in multiuser scenarios, and multicell MIMO systems.
Large Mimo Systems
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Author : A. Chockalingam
language : en
Publisher: Cambridge University Press
Release Date : 2014-02-06
Large Mimo Systems written by A. Chockalingam and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-06 with Computers categories.
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.
Machine Learning For Future Wireless Communications
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Author : Fa-Long Luo
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-10
Machine Learning For Future Wireless Communications written by Fa-Long Luo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-10 with Technology & Engineering categories.
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Lattice Reduction And List Based Low Complexity Mimo Detection And Its Applications
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Author : Lin Bai
language : en
Publisher:
Release Date : 2010
Lattice Reduction And List Based Low Complexity Mimo Detection And Its Applications written by Lin Bai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Low Complexity Mimo Detection With Bound Constraint Semidefinite Relaxation For 16 16 Mimo Communications
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Author : 朱彥昀
language : zh-CN
Publisher:
Release Date : 2012
Low Complexity Mimo Detection With Bound Constraint Semidefinite Relaxation For 16 16 Mimo Communications written by 朱彥昀 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Emerging Technology Trends In Electronics Communication And Networking
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Author : Shilpi Gupta
language : en
Publisher: Springer
Release Date : 2020-07-23
Emerging Technology Trends In Electronics Communication And Networking written by Shilpi Gupta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-23 with Computers categories.
This book constitutes refereed proceedings of the Third International Conference on Emerging Technology Trends in Electronics, Communication and Networking, ET2ECN 2020, held in Surat, India, in February 2020. The 17 full papers and 6 short papers presented were thorougly reviewed and selected from 70 submissions. The volume covers a wide range of topics including electronic devices, VLSI design and fabrication, photo electronics, systems and applications, integrated optics, embedded systems, wireless communication, optical communication, free space optics, signal processing, image/ audio/ video processing, wireless sensor networks, next generation networks, network security, and many others.
Mimo Ofdm Wireless Communications With Matlab
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Author : Yong Soo Cho
language : en
Publisher: John Wiley & Sons
Release Date : 2010-08-20
Mimo Ofdm Wireless Communications With Matlab written by Yong Soo Cho and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-20 with Technology & Engineering categories.
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB®, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB® programs to simulate the various techniques on MIMO-OFDM systems. One of the only books in the area dedicated to explaining simulation aspects Covers implementation to help cement the key concepts Uses materials that have been classroom-tested in numerous universities Provides the analytic solutions and practical examples with downloadable MATLAB® codes Simulation examples based on actual industry and research projects Presentation slides with key equations and figures for instructor use MIMO-OFDM Wireless Communications with MATLAB® is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques. Instructor materials and MATLAB® code examples available for download at www.wiley.com/go/chomimo