Detection Algorithms For Wireless Communications

Author : Gianluigi Ferrari,Giulio Colavolpe,Riccardo Raheli
Publisher : John Wiley & Sons
Page : 426 pages
File Size : 46,7 Mb
Release : 2005-12-13
Category : Technology & Engineering
ISBN : 9780470858295

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Detection Algorithms for Wireless Communications by Gianluigi Ferrari,Giulio Colavolpe,Riccardo Raheli Pdf

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 : Unknown
Page : 92 pages
File Size : 41,7 Mb
Release : 2009
Category : Demodulation (Electronics)
ISBN : UCR:31210022940678

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A Study of MIMO Detection Algorithms in Wireless Communications by Jie Liang Pdf

Author : Giorgio A. Vitetta,Desmond P. Taylor,Giulio Colavolpe,Fabrizio Pancaldi,Philippa A. Martin
Publisher : John Wiley & Sons
Page : 849 pages
File Size : 55,6 Mb
Release : 2013-03-29
Category : Technology & Engineering
ISBN : 9781118576601

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Wireless Communications by Giorgio A. Vitetta,Desmond P. Taylor,Giulio Colavolpe,Fabrizio Pancaldi,Philippa A. Martin Pdf

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 : Haris Vikalo,Babak Hassibi
Publisher : Unknown
Page : 275 pages
File Size : 40,5 Mb
Release : 2008-03
Category : Technology & Engineering
ISBN : 0521870992

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Sphere Decoding Algorithms for Wireless Communications by Haris Vikalo,Babak Hassibi Pdf

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,Aniket Mahanti,Shen Chong,Srikanta Patnaik,Margarita Favorskaya
Publisher : Springer Nature
Page : 245 pages
File Size : 54,5 Mb
Release : 2020-09-03
Category : Technology & Engineering
ISBN : 9789811556975

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Advances in Wireless Communications and Applications by Roumen Kountchev,Aniket Mahanti,Shen Chong,Srikanta Patnaik,Margarita Favorskaya Pdf

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 : Fa-Long Luo
Publisher : John Wiley & Sons
Page : 490 pages
File Size : 51,8 Mb
Release : 2020-02-10
Category : Technology & Engineering
ISBN : 9781119562252

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Machine Learning for Future Wireless Communications by Fa-Long Luo Pdf

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 : Xiaodong Wang,H. Vincent Poor
Publisher : Prentice Hall Professional
Page : 716 pages
File Size : 46,9 Mb
Release : 2004
Category : Computers
ISBN : 0130214353

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Wireless Communication Systems by Xiaodong Wang,H. Vincent Poor Pdf

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 : Yonina C. Eldar,Andrea Goldsmith,Deniz Gündüz,H. Vincent Poor
Publisher : Cambridge University Press
Page : 559 pages
File Size : 46,9 Mb
Release : 2022-08-04
Category : Computers
ISBN : 9781108832984

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Machine Learning and Wireless Communications by Yonina C. Eldar,Andrea Goldsmith,Deniz Gündüz,H. Vincent Poor Pdf

Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.

Author : K. Suganthi,R. Karthik,G. Rajesh,Peter Ho Chiung Ching
Publisher : CRC Press
Page : 296 pages
File Size : 46,9 Mb
Release : 2021-09-14
Category : Technology & Engineering
ISBN : 9781000441819

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Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by K. Suganthi,R. Karthik,G. Rajesh,Peter Ho Chiung Ching Pdf

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
Page : 520 pages
File Size : 48,7 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781420046021

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Adaptive Signal Processing in Wireless Communications by Mohamed Ibnkahla Pdf

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.

Author : Jinho Choi
Publisher : Cambridge University Press
Page : 349 pages
File Size : 48,5 Mb
Release : 2010-01-28
Category : Technology & Engineering
ISBN : 9781139486330

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Optimal Combining and Detection by Jinho Choi Pdf

With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced blend of theoretical elements and applications, this book is ideal for both graduate students and practising engineers in wireless communications.

Author : Sergio Verdú
Publisher : Cambridge University Press
Page : 0 pages
File Size : 44,7 Mb
Release : 2011-07-21
Category : Technology & Engineering
ISBN : 0521203953

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Multiuser Detection by Sergio Verdú Pdf

Multiuser Detection provides the first comprehensive treatment of the subject of multiuser digital communications. Multiuser detection deals with demodulation of the mutually interfering digital streams of information that occur in areas such as wireless communications, high-speed data transmission, satellite communication, digital television, and magnetic recording. The development of multiuser detection techniques is one of the most important recent advances in communications technology, and this self-contained book gives a comprehensive coverage of the design and analysis of receivers for multiaccess channels, while focusing on fundamental models and algorithms. The author begins with a review of multiaccess communications, dealing in particular with code division multiple access (CDMA) channels. Background material on hypothesis testing and the effect of multiuser interference on single-user receivers are discussed next. This is followed by the design and analysis of optimum and linear multiuser detectors. Also covered in detail are topics such as decision-driven multiuser detection and noncoherent multiuser detection. The elements of multiuser detection are clearly and systematically presented along with more advanced recent results, some of which are published here for the first time. The extensive set of references and bibliographical notes offer a comprehensive account of the state of the art in the subject. The only prerequisites assumed are undergraduate-level probability, linear algebra, and introductory digital communications. The book contains over 300 exercises and is a suitable textbook for practicing engineers, as well as a valuable reference volume for researchers in communications and signal processing.

Author : Dinh Thai Hoang,Nguyen Van Huynh,Diep N. Nguyen,Ekram Hossain,Dusit Niyato
Publisher : John Wiley & Sons
Page : 293 pages
File Size : 49,8 Mb
Release : 2023-08-01
Category : Technology & Engineering
ISBN : 9781119873679

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Deep Reinforcement Learning for Wireless Communications and Networking by Dinh Thai Hoang,Nguyen Van Huynh,Diep N. Nguyen,Ekram Hossain,Dusit Niyato Pdf

Deep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.

Author : Ayman ElNashar
Publisher : John Wiley & Sons
Page : 424 pages
File Size : 42,6 Mb
Release : 2018-08-20
Category : Technology & Engineering
ISBN : 9781118938249

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Simplified Robust Adaptive Detection and Beamforming for Wireless Communications by Ayman ElNashar Pdf

This book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several systems models including DS/CDMA, OFDM/MIMO with antenna array, and general antenna arrays beamforming model. It presents and analyzes recently developed detection and beamforming algorithms with an emphasis on robustness. In addition, simplified and efficient robust adaptive detection and beamforming techniques are presented and compared with exiting techniques. Practical examples based on the above systems models are provided to exemplify the developed detectors and beamforming algorithms. Moreover, the developed techniques are implemented using MATLAB—and the relevant MATLAB scripts are provided to help the readers to develop and analyze the presented algorithms. em style="mso-bidi-font-style: normal;"Simplified Robust Adaptive Detection and Beamforming for Wireless Communications starts by introducing readers to adaptive signal processing and robust adaptive detection. It then goes on to cover Wireless Systems Models. The robust adaptive detectors and beamformers are implemented using the well-known algorithms including LMS, RLS, IQRD-RLS, RSD, BSCMA, CG, and SD. The robust detection and beamforming are derived based on the existing detectors/beamformers including MOE, PLIC, LCCMA, LCMV, MVDR, BSCMA, and MBER. The adopted cost functions include MSE, BER, CM, MV, and SINR/SNR.

Author : Jia-Chin Lin
Publisher : BoD – Books on Demand
Page : 470 pages
File Size : 55,9 Mb
Release : 2011-08-23
Category : Computers
ISBN : 9789533072746

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Recent Advances in Wireless Communications and Networks by Jia-Chin Lin Pdf

This book focuses on the current hottest issues from the lowest layers to the upper layers of wireless communication networks and provides "real-time" research progress on these issues. The authors have made every effort to systematically organize the information on these topics to make it easily accessible to readers of any level. This book also maintains the balance between current research results and their theoretical support. In this book, a variety of novel techniques in wireless communications and networks are investigated. The authors attempt to present these topics in detail. Insightful and reader-friendly descriptions are presented to nourish readers of any level, from practicing and knowledgeable communication engineers to beginning or professional researchers. All interested readers can easily find noteworthy materials in much greater detail than in previous publications and in the references cited in these chapters.