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Author: Nadim Ghaddar Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Next-generation wireless communication systems will have to deal with an unprecedented number of communicating users and devices while enabling orders-of-magnitude of performance improvement in speed and connectivity. With the increasingly complex network structure and the high spectral efficiency requirements, it becomes extremely inefficient to rely on traditional channel coding paradigms that do not take into account the structure of the network and its inherent properties. Unlike conventional channel coding schemes that are designed under the assumption of a single sender and a single receiver communicating over a memoryless channel, this dissertation investigates low-complexity channel coding techniques that take advantage of the number of communicating devices in a network and the inherent memory in the channel. In communication over networks, low-complexity channel coding schemes that achieve the best known information theoretic performance are constructed starting from simple coding blocks. In communication over channels with memory, practical channel coding techniques that exploit the memory in the channel are developed. In both cases, the proposed coding techniques have the potential of addressing the increasing-spectral-efficiency requirement in next-generation wireless communication systems.
Author: Nadim Ghaddar Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Next-generation wireless communication systems will have to deal with an unprecedented number of communicating users and devices while enabling orders-of-magnitude of performance improvement in speed and connectivity. With the increasingly complex network structure and the high spectral efficiency requirements, it becomes extremely inefficient to rely on traditional channel coding paradigms that do not take into account the structure of the network and its inherent properties. Unlike conventional channel coding schemes that are designed under the assumption of a single sender and a single receiver communicating over a memoryless channel, this dissertation investigates low-complexity channel coding techniques that take advantage of the number of communicating devices in a network and the inherent memory in the channel. In communication over networks, low-complexity channel coding schemes that achieve the best known information theoretic performance are constructed starting from simple coding blocks. In communication over channels with memory, practical channel coding techniques that exploit the memory in the channel are developed. In both cases, the proposed coding techniques have the potential of addressing the increasing-spectral-efficiency requirement in next-generation wireless communication systems.
Author: Lele Wang Publisher: ISBN: Category : Languages : en Pages : 187
Book Description
Next-generation wireless networks aim to enable order-of-magnitude increases in connectivity, capacity, and speed. Such a goal can be achieved in part by utilizing larger frequency bandwidth or by deploying denser base stations. As the number of wireless devices is exploding, however, it is inevitable that multiple devices communicate over the same time and same spectrum. Consequently, improving the spectral efficiency in wireless networks with multiple senders and receivers becomes the key challenge. This dissertation investigates low-complexity channel coding techniques that implement canonical random coding schemes in network information theory, such as universal channel coding, superposition coding, rate-splitting, successive cancellation, simultaneous decoding, decode-forward relaying, compress-forward relaying, and Slepian--Wolf coding. In representative communication scenarios, such as compound channels, interference channels, broadcast channels, and relay channels, the proposed channel coding techniques achieve the best known information theoretic performance, some utilizing the recently invented polar codes and some making use of the commercial off-the-shelf codes, e.g., turbo and LDPC codes. These techniques have a potential to become important building blocks towards a general theory of channel coding techniques for the next-generation high-spectral-efficiency, low-power, broad-coverage wireless communication.
Author: Alain Glavieux Publisher: John Wiley & Sons ISBN: 1118613635 Category : Technology & Engineering Languages : en Pages : 323
Book Description
This book provides a comprehensive overview of the subject of channel coding. It starts with a description of information theory, focusing on the quantitative measurement of information and introducing two fundamental theorems on source and channel coding. The basics of channel coding in two chapters, block codes and convolutional codes, are then discussed, and for these the authors introduce weighted input and output decoding algorithms and recursive systematic convolutional codes, which are used in the rest of the book. Trellis coded modulations, which have their primary applications in high spectral efficiency transmissions, are then covered, before the discussion moves on to an advanced coding technique called turbocoding. These codes, invented in the 1990s by C. Berrou and A. Glavieux, show exceptional performance. The differences between convolutional turbocodes and block turbocodes are outlined, and for each family, the authors present the coding and decoding techniques, together with their performances. The book concludes with a chapter on the implementation of turbocodes in circuits. As such, anyone involved in the areas of channel coding and error correcting coding will find this book to be of invaluable assistance.
Author: K. Deergha Rao Publisher: Springer Nature ISBN: 9811505616 Category : Mathematics Languages : en Pages : 484
Book Description
This book discusses the latest channel coding techniques, MIMO systems, and 5G channel coding evolution. It provides a comprehensive overview of channel coding, covering modern techniques such as turbo codes, low-density parity-check (LDPC) codes, space–time coding, polar codes, LT codes, and Raptor codes as well as the traditional codes such as cyclic codes, BCH, RS codes, and convolutional codes. It also explores MIMO communications, which is an effective method for high-speed or high-reliability wireless communications. It also examines the evolution of 5G channel coding techniques. Each of the 13 chapters features numerous illustrative examples for easy understanding of the coding techniques, and MATLAB-based programs are integrated in the text to enhance readers’ grasp of the underlying theories. Further, PC-based MATLAB m-files for illustrative examples are included for students and researchers involved in advanced and current concepts of coding theory.
Author: Didier Le Ruyet Publisher: John Wiley & Sons ISBN: 1848218451 Category : Technology & Engineering Languages : en Pages : 404
Book Description
The communication chain is constituted by a source and a recipient, separated by a transmission channel which may represent a portion of cable, an optical fiber, a radio channel, or a satellite link. Whatever the channel, the processing blocks implemented in the communication chain have the same foundation. This book aims to itemize. In this first volume, after having presented the base of the information theory, we will study the source coding techniques with and without loss. Then we analyze the correcting codes for block errors, convutional and concatenated used in current systems.
Author: Pierre Duhamel Publisher: Academic Press ISBN: 0080922449 Category : Technology & Engineering Languages : en Pages : 337
Book Description
- Treats joint source and channel decoding in an integrated way - Gives a clear description of the problems in the field together with the mathematical tools for their solution - Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks but recent advances in theory changed this situation. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account. A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others. This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles. Typical applications are broadcasting, or point-to-point delivery of multimedia contents, which are very timely in the context of the current development of mobile services such as audio (MPEG4 AAC) or video (H263, H264) transmission using recent wireless transmission standards (DVH-H, DVB-SH, WiMAX, LTE). This cross-disciplinary book is ideal for graduate students, researchers, and more generally professionals working either in signal processing for communications or in networking applications, interested in reliable multimedia transmission. This book is also of interest to people involved in cross-layer optimization of mobile networks. Its content may provide them with other points of view on their optimization problem, enlarging the set of tools which they could use. Pierre Duhamel is director of research at CNRS/ LSS and has previously held research positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as chairman of the DSP committee and associate Editor of the IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a co-chair at MMSP and ICASSP conferences. He was awarded the Grand Prix France Telecom by the French Science Academy in 2000. He is co-author of more than 80 papers in international journals, 250 conference proceedings, and 28 patents. Michel Kieffer is an assistant professor in signal processing for communications at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in joint source-channel coding and decoding techniques for the reliable transmission of multimedia contents. He serves as associate editor of Signal Processing (Elsevier). He is co-author of more than 90 contributions to journals, conference proceedings, and book chapters. - Treats joint source and channel decoding in an integrated way - Gives a clear description of the problems in the field together with the mathematical tools for their solution - Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks
Author: James M. Ooi Publisher: Springer Science & Business Media ISBN: 1461557194 Category : Technology & Engineering Languages : en Pages : 190
Book Description
Coding for Channels with Feedback presents both algorithms for feedback coding and performance analyses of these algorithms, including analyses of perhaps the most important performance criterion: computational complexity. The algorithms are developed within a single framework, termed the compressed-error-cancellation framework, where data are sent via a sequence of messages: the first message contains the original data; each subsequent message contains a source-coded description of the channel distortions introduced on the message preceding it. Coding for Channels with Feedback provides an easily understood and flexible framework for deriving low-complexity, practical solutions to a wide variety of feedback communication problems. It is shown that the compressed-error-cancellation framework leads to coding schemes with the lowest possible asymptotic order of growth of computations and can be applied to discrete memoryless channels, finite state channels, channels with memory, unknown channels, and multiple-access channels, all with complete noiseless feedback, as well as to channels with partial and noisy feedback. This framework leads to coding strategies that have linear complexity and are capacity achieving, and illustrates the intimate connection between source coding theory and channel coding theory. Coding for Channels with Feedback is an excellent reference for researchers and communication engineers in the field of information theory, and can be used for advanced courses on the topic.
Author: Guy Keshet Publisher: Now Publishers Inc ISBN: 1601980485 Category : Computers Languages : en Pages : 154
Book Description
Channel Coding in the Presence of Side Information reviews the concepts and methods of communication systems equipped with side information both from the theoretical and practical points of view. It is a comprehensive review that gives the reader an insightful introduction to one of the most important topics in modern communications systems.
Author: Alain Glavieux Publisher: Wiley-Iste ISBN: 9781847045744 Category : Computers Languages : en Pages : 436
Book Description
This book starts with a description of information theory by focusing on the quantitative measurement of information and by introducing two fundamental theorems on source and channel coding. It then discusses the basics of channel coding in two chapters, the first devoted to block codes and the second to convolutional codes. In these two chapters, the authors introduce weighted input and output decoding algorithms and recursive systematic convolutional codes, which are used in the rest of the book.In part one the book covers trellis coded modulations, which have their primary applications in high spectral efficiency transmissions. Part two is devoted to an advanced coding technique called turbo codes. These codes, invented in the 1990s by C. Berrou and A. Glavieux, show exceptional performance being at 0.35 dB of the Shannon theoretical limit. The book distinguishes between convolutional turbo codes and block turbo codes, and for each family, the authors present the coding and decoding principles, together with their performances. The book concludes with a chapter on the implementation of turbo codes in circuits.
Author: Nadim Ghaddar
Author: Nadim Ghaddar
Author: Lele Wang
Author: Alain Glavieux
Author: K. Deergha Rao
Author: Didier Le Ruyet
Author: Pierre Duhamel
Author: James M. Ooi
Author: Guy Keshet
Author: I. Csiszar
Author: Alain Glavieux