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Author: Gianluigi Ferrari
Publisher: John Wiley & Sons
ISBN: 047085829X
Category : Technology & Engineering
Languages : en
Pages : 426
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Book Description
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.
Author: Gianluigi Ferrari
Publisher: John Wiley & Sons
ISBN: 047085829X
Category : Technology & Engineering
Languages : en
Pages : 426
Get Book
Book Description
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.
Author: Jie Liang
Publisher:
ISBN:
Category : Demodulation (Electronics)
Languages : en
Pages : 92
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Book Description
Author: Giorgio A. Vitetta
Publisher: John Wiley & Sons
ISBN: 1118576608
Category : Technology & Engineering
Languages : en
Pages : 849
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Book Description
This book introduces the theoretical elements at the basis of various classes of algorithms commonly employed in the physical layer (and, in part, in MAC layer) of wireless communications systems. It focuses on single user systems, so ignoring multiple access techniques. Moreover, emphasis is put on single-input single-output (SISO) systems, although some relevant topics about multiple-input multiple-output (MIMO) systems are also illustrated. Comprehensive wireless specific guide to algorithmic techniques Provides a detailed analysis of channel equalization and channel coding for wireless applications Unique conceptual approach focusing in single user systems Covers algebraic decoding, modulation techniques, channel coding and channel equalisation
Author: Fa-Long Luo
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490
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Book Description
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.
Author: Haris Vikalo
Publisher:
ISBN: 9780521870993
Category : Technology & Engineering
Languages : en
Pages : 275
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Book Description
Space-time coding techniques play a major role in modern wireless communication systems since they can achieve very high data transmission rates. Designing efficient algorithms to implement these techniques is a significant challenge, and there is currently a great amount of interest in sphere decoding algorithms in this context. This book will describe efficient algorithms for detection and decoding, focussing on receivers in wireless communication systems. The complexity and design of sphere decoding algorithms will be discussed in detail, and their performance analyzed. The book is aimed at researchers and graduate students of electrical engineering and computer science. It will also appeal to practitioners in the wireless industry.
Author: Roumen Kountchev
Publisher: Springer Nature
ISBN: 9811556970
Category : Technology & Engineering
Languages : en
Pages : 245
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Book Description
This book features selected papers presented at the 3rd International Conference on Wireless Communications and Applications (ICWCA 2019), held at Hainan University, China. Focusing on applications of the latest smart theories and approaches, and recent advances in the field, it covers topics such as OFDM and multi-carrier techniques; smart antenna and space-time signal processing; MIMO, multi-user MIMO, and massive MIMO; modulation, coding, and diversity techniques; dynamic spectrum access and cognitive radio; interference management and radio resource allocation; equalization techniques; synchronization, estimation, and detection techniques; and wireless multiple access (e.g. CDMA, OFDMA, NOMA, ).
Author: Xiaodong Wang
Publisher: Prentice Hall Professional
ISBN: 9780130214355
Category : Computers
Languages : en
Pages : 716
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Book Description
Wireless Communication Systems: Advanced Techniques for Signal Receptionoffers a unified frameworkfor understanding today's newest techniques for signal processing in communication systems - andusing them to design receivers for emerging wireless systems. Two leading researchers cover a fullrange of physical-layer issues, including multipath, dispersion, interference, dynamism, andmultiple-antenna systems. Topics include blind, group-blind, space-time, and turbo multiuserdetection; narrowband interference suppression; Monte Carlo Bayesian signal processing; fast fadingchannels; advanced signal processing in coded OFDM systems, and more.
Author: Joseph Boccuzzi
Publisher: McGraw Hill Professional
ISBN: 007151080X
Category : Technology & Engineering
Languages : en
Pages : 557
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Book Description
Master the Signal Processing Concepts and Techniques Needed to Design and Operate Any Wireless Communications Network Signal Processing for Wireless Communications offers communications engineers an application-focused guide to the essential concepts and techniques of wireless signal processing. This comprehensive reference examines the role that key algorithms and standard migration paths play in the design and day-to-day operations of today's state-of-the-art wireless networks. Written by Dr. Joseph Boccuzzi, a leading signal processing expert with years of product development, research, and teaching experience, this on-target engineering tool takes readers step by step through major wireless topics...modulation theory...wireless multipath channel...modulation detection methods...performance improvement techniques...receiver digital signal processing...3G wideband CDMA...computer simulation estimation techniques...and 3G and beyond. Designed to bring engineers up to speed on the latest breakthroughs in signal processing technology, Signal Processing for Wireless Communications features: Expert coverage of 3G wideband CDMA Discussion of the role OFDM will play in future technologies Complete information on the role of vital signal processing algorithms within the context of wireless applications Discussions of advanced signal processing challenges in the mobile environment Over 500 detailed illustrations Inside This Hands-On Signal Processing Guide • Wireless Topics • Modulation Theory • Wireless Multipath Channel • Modulation Detection Techniques • Performance Improvement Techniques • Receiver Digital Signal Processing • 3G Wideband CDMA • Computer Simulation Estimation Techniques • 3G and Beyond
Author: K. Suganthi
Publisher: CRC Press
ISBN: 1000441814
Category : Technology & Engineering
Languages : en
Pages : 296
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Book Description
This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.
Author: Mohamed Ibnkahla
Publisher: CRC Press
ISBN: 1420046020
Category : Technology & Engineering
Languages : en
Pages : 520
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Book Description
Adaptive techniques play a key role in modern wireless communication systems. The concept of adaptation is emphasized in the Adaptation in Wireless Communications Series through a unified framework across all layers of the wireless protocol stack ranging from the physical layer to the application layer, and from cellular systems to next-generation wireless networks. This specific volume, Adaptive Signal Processing in Wireless Communications is devoted to adaptation in the physical layer. It gives an in-depth survey of adaptive signal processing techniques used in current and future generations of wireless communication systems. Featuring the work of leading international experts, it covers adaptive channel modeling, identification and equalization, adaptive modulation and coding, adaptive multiple-input-multiple-output (MIMO) systems, and cooperative diversity. It also addresses other important aspects of adaptation in wireless communications such as hardware implementation, reconfigurable processing, and cognitive radio. A second volume in the series, Adaptation and Cross-layer Design in Wireless Networks(cat no.46039) is devoted to adaptation in the data link, network, and application layers.
