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Author: Publisher: ISBN: Category : Languages : en Pages : 324
Book Description
As wireless systems proliferate worldwide, interference is becoming one of the main problems for system designers. Interference, which occurs when multiple transmissions take place over a common communication medium, limits system performance. Wireless devices can coordinate the use of scarce radio resources in order to manage the interference and establish successful communication. To effectively deal with the interference problem, some wireless devices must have a certain level of knowledge about the interference. In practice, this knowledge comes at the expense of using more resources (such as employing a proper channel training mechanism). With the remaining available resources, the question is how to achieve reliable communication? This thesis investigates an information theoretic approach and employs several coding techniques to improve system performance by either cancelling the interference or extracting knowledge from it about the information signal. The first part of this thesis considers the transmission of information signals over a fading channel that is disturbed with additional interference. The system's information theoretic limit in terms of mean square error distortion is assessed. Moreover, hybrid coding schemes are proposed and analyzed to obtain an achievable performance. As an extension to this problem, source channel-state estimation is investigated; in this case, the receiver is interested in estimating the information signal and the channel-state (interference). It is shown that the achievable performance is close to the derived limit. Motivated by multi-terminal systems, the transmission of a pair of sources over the two-user Gaussian broadcast channel in the presence of interference is then studied. Inner and outer bounds on the system's mean square error distortion are obtained. Unlike the first part of the thesis, in the second part, two additional constraints are added to the picture: 1) low coding delay and 2) low complexity. Similar communication scenarios as the ones in the first part are investigated under low delay and complexity requirements. These two constraints are motivated by the increased popularity of wireless sensor networks; a sensor node, often conceived as having limited lifetime and processing power, communicates its sensed field information to a fusion centre over a noisy wireless channel. To meet these challenges, we propose to use analog source-channel mappings. Parametric and nonparametric mappings are investigated in this last part of the thesis; it is noted that parametric mappings based on spiral and sawtooth curves are able to outperform linear scheme. Moreover, nonparametric mappings based on joint optimization of the encoder and the decoder are shown to outperform other low delay schemes.
Author: Publisher: ISBN: Category : Languages : en Pages : 324
Book Description
As wireless systems proliferate worldwide, interference is becoming one of the main problems for system designers. Interference, which occurs when multiple transmissions take place over a common communication medium, limits system performance. Wireless devices can coordinate the use of scarce radio resources in order to manage the interference and establish successful communication. To effectively deal with the interference problem, some wireless devices must have a certain level of knowledge about the interference. In practice, this knowledge comes at the expense of using more resources (such as employing a proper channel training mechanism). With the remaining available resources, the question is how to achieve reliable communication? This thesis investigates an information theoretic approach and employs several coding techniques to improve system performance by either cancelling the interference or extracting knowledge from it about the information signal. The first part of this thesis considers the transmission of information signals over a fading channel that is disturbed with additional interference. The system's information theoretic limit in terms of mean square error distortion is assessed. Moreover, hybrid coding schemes are proposed and analyzed to obtain an achievable performance. As an extension to this problem, source channel-state estimation is investigated; in this case, the receiver is interested in estimating the information signal and the channel-state (interference). It is shown that the achievable performance is close to the derived limit. Motivated by multi-terminal systems, the transmission of a pair of sources over the two-user Gaussian broadcast channel in the presence of interference is then studied. Inner and outer bounds on the system's mean square error distortion are obtained. Unlike the first part of the thesis, in the second part, two additional constraints are added to the picture: 1) low coding delay and 2) low complexity. Similar communication scenarios as the ones in the first part are investigated under low delay and complexity requirements. These two constraints are motivated by the increased popularity of wireless sensor networks; a sensor node, often conceived as having limited lifetime and processing power, communicates its sensed field information to a fusion centre over a noisy wireless channel. To meet these challenges, we propose to use analog source-channel mappings. Parametric and nonparametric mappings are investigated in this last part of the thesis; it is noted that parametric mappings based on spiral and sawtooth curves are able to outperform linear scheme. Moreover, nonparametric mappings based on joint optimization of the encoder and the decoder are shown to outperform other low delay schemes.
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: Makesh Pravin John Wilson Publisher: ISBN: Category : Languages : en Pages :
Book Description
This dissertation is divided into two main topics. In the first topic, we study the joint source-channel coding problem of transmitting an analog source over a Gaussian channel in two cases - (i) the presence of interference known only to the transmitter and (ii) in the presence of side information about the source known only to the receiver. We introduce hybrid digital analog forms of the Costa and Wyner-Ziv coding schemes. We present random coding based schemes in contrast to lattice based schemes proposed by Kochman and Zamir. We also discuss superimposed digital and analog schemes for the above problems which show that there are infinitely many schemes for achieving the optimal distortion for these problems. This provides an extension of the schemes proposed by Bross and others to the interference/source side information case. The result of this study shows that the proposed hybrid digital analog schemes are more robust to a mismatch in channel signal-to-noise ratio (SNR), than pure separate source coding followed by channel coding solutions. We then discuss applications of the hybrid digital analog schemes for transmitting under a channel SNR mismatch and for broadcasting a Gaussian source with bandwidth compression. We also study applications of joint source-channel coding schemes for a cognitive setup and also for the setup of transmitting an analog Gaussian source over a Gaussian channel, in the presence of an eavesdropper. In the next topic, we consider joint physical layer coding and network coding solutions for bi-directional relaying. We consider a communication system where two transmitters wish to exchange information through a central relay. The transmitter and relay nodes exchange data over synchronized, average power constrained additive white Gaussian noise channels. We propose structured coding schemes using lattices for this problem. We study two decoding approaches, namely lattice decoding and minimum angle decoding. Both the decoding schemes can be shown to achieve the upper bound at high SNRs. The proposed scheme can be thought of as a joint physical layer, network layer code which outperforms other recently proposed analog network coding schemes. We also study extensions of the bi-directional relay for the case with asymmetric channel links and also for the multi-hop case. The result of this study shows that structured coding schemes using lattices perform close to the upper bound for the above communication system models.
Author: Norbert Goertz Publisher: Imperial College Press ISBN: 1860948464 Category : Technology & Engineering Languages : en Pages : 207
Book Description
This book provides the first comprehensive and easy-to-read discussion of joint source-channel encoding and decoding for source signals with continuous amplitudes. It is a state-of-the-art presentation of this exciting, thriving field of research, making pioneering contributions to the new concept of source-adaptive modulation. The book starts with the basic theory and the motivation for a joint realization of source and channel coding. Specialized chapters deal with practically relevant scenarios such as iterative source-channel decoding and its optimization for a given encoder, and also improved encoder designs by channel-adaptive quantization or source-adaptive modulation. Although Information Theory is not the main topic of the book OCo in fact, the concept of joint source-channel coding is contradictory to the classical system design motivated by a questionable practical interpretation of the separation theorem OCo this theory still provides the ultimate performance limits for any practical system, whether it uses joint source-channel coding or not. Therefore, the theoretical limits are presented in a self-contained appendix, which is a useful reference also for those not directly interested in the main topic of this book. Sample Chapter(s). Chapter 1: Introduction (98 KB). Contents: Joint Source-Channel Coding: An Overview; Joint Source-Channel Decoding; Channel-Adaptive Scaled Vector Quantization; Index Assignments for Multiple Descriptions Vector Quantizers; Source-Adaptive Modulation; Source-Adaptive Power Allocation; Appendices: Theoretical Performance Limits; Optimal Decoder for a Given Encoder; Symbol Error Probabilities for M-PSK; Derivative of the Expected Distortion for SAM. Readership: Students at advanced undergraduate and graduate level; practitioners and academics in Electrical and Communications Engineering, Information Technology and Computer Science."
Author: Makarand Mohan Jadhav Publisher: Classicsbooks ISBN: Category : Languages : en Pages : 0
Book Description
Two important topics of information theory are compression and error correction codes. These are known as source and channel coding techniques. Source coding helps to compress the data and improves bandwidth utilization. Channel coding adds redundancy to make data more reliable. Error correction coding is the means whereby errors can be detected and corrected using redundant bits. Error correction codes are of two types, forward error correction and automatic repeat request. Mobile communications have seminal importance in present telecommunication systems. Wireless transmission is used to convey data between user end and base stations. The communication errors are caused due to noise, interference and poor signal strength. Mobile communication system presently uses Turbo channel code to detect and correct errors. Presently, there is a high demand for mobile services and its applications. Usage of smart phones has increased largely and that is demanding higher data rate and large network capacity to meet intensive service requirements. This demands large bandwidth which is limited and valuable resource. The requirements to support real time voice communication in mobile system with different available standards are Bit Error Rate and Latency. Further, the capacity to scale up in channels, coverage area and seamless integration of Polar-code based systems with minimum design efforts are thrust areas. Shannon, pioneer of information theory expressed in year 1948, that data can be transmitted reliably through the channel at maximal possible rate. The prime goal of coding theory since 1948 till date is to design a practical error correcting coding scheme that can be implemented in real time communication. The work focuses on developing such practical Polarcode based system. Polar-codes was introduced by Erdal Arikan in 2009. The application considered in present work is voice and data for mobile communication. Polar-code is used along with spectrum efficient MPSK modulation techniques in the presence of additive white Gaussian noise. The main objective is to increase the number of users with same bandwidth. Simulation is carried out to optimize the Power, Bandwidth and Latency parameters for acceptable Bit Error Rate of 10-4. Taguchi and Response Surface Methodology techniques are used for performance optimization using Polar-code. A single transmission time interval mechanism is used for circuit switching technique. Based on this, a Polar-code based OFDM system is simulated with 12 subcarriers. It is observed that the SNR required to achieve BER of 10-4 is 5.84 dB, 12.62 dB, 18.84 dB for QPSK, 8 PSK and 16 PSK modulations respectively. To extend the applicability to packet switching technique with BER of 10-4, three transmission time intervals mechanism is simulated with Polar-code OFDM system. The SNR of 2.84 dB, 9.62 dB, 15.84 dB is obtained for QPSK, 8 PSK and 16 PSK modulations respectively. The experimentation has been carried on a frame of length 528 bits with QPSK and 16 PSK OFDM system. Here Polar-code is used for bit error correction and CRC of 8-bit, for frame error detection. The frame error rate considered is of 10-3 and 10-4. This system provides link utilization of 32.43% and 32.46 % for data rate of 100 Mbps. With 10 Mbps data rate, link utilization achieved is 75% and 83.32 %.
Author: L. Stenger Publisher: Elsevier ISBN: 1483298515 Category : Technology & Engineering Languages : en Pages : 868
Book Description
In a world at the eve of digital television by satellite and cable, this publication provides a state-of-the-art exploration of the latest developments in HDTV technology. It highlights the technologies needed to launch HDTV from demonstration and trial status to that of a complete product and service. It also contributes towards the provision of the knowledge base required for the planning and management of the spectrum across the continents. Papers are sourced from a wide range of international experts in the field, including those from Canada, where, according to L. Chiariglione, ... An incredibly bold gamble, the progressive introduction of HDTV service on the [Canadian] terrestrial distribution network, additional to the existing TV service, has been proven to work and steps have been taken towards the full technical specification of the complete system. This publication aims to have the dream of interactive television take a leap forward into reality.
Author: John B. Anderson Publisher: Springer Science & Business Media ISBN: 9780792392101 Category : Technology & Engineering Languages : en Pages : 452
Book Description
oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominates. The theory's predictions and bounds to performance are valuable to the coding engineer, but coding today is mostly about structures and algorithms and their size, speed and error performance. While coding has a theoretical basis, it has a practical side as well, an engineering side in which costs and benefits matter. It is safe to say that most of the recent advances in information theory and coding are in the engineering of coding. These thoughts motivate the present text book: A coded communication book based on methods and algorithms, with information theory in a necessary but supporting role. There has been muchrecent progress in coding, both inthe theory and the practice, and these pages report many new advances. Chapter 2 cov ers traditional source coding, but also the coding ofreal one-dimensional sources like speech and new techniques like vector quantization. Chapter 4 is a unified treatment of trellis codes, beginning with binary convolu tional codes and passing to the new trellis modulation codes.
Author: Bill Waggener Publisher: Springer Science & Business Media ISBN: 9780442014360 Category : Technology & Engineering Languages : en Pages : 388
Book Description
Pulse Code Modulation Techniques brings together the theory and practice of PCM at the physical layer, where the "bits meet the silicon", so to speak. The key topics of symbol encoding, detection and synchronization are discussed, in detail, both from a theoretical and a practical standpoint. Topics which have been largely absent in text books, such as multiplexing, formatting and format synchronization, are also considered. Although PCM evolved as a communication technology, it has become an important technology in data recording. In a sense, magnetic or optical media are just specialized communication media and the key technologies discussed in this book are just as important to recording applications as to communications. PCM codes used for magnetic recording applications are discussed along with traditional communication codes. The design, analysis and implementation of a PCM system requires knowledge of very specific techniques associated with detection, synchronization and coding. The techniques have evolved from both ad hoc methods and complex theory. One of the goals of this book is to bridge the gap between theory and practice in the key techniques. Matched filters are not only discussed theoretically, but means for implementing them are also considered. The same is true with symbol synchronization.
Author: Andres Kwasinski Publisher: John Wiley & Sons ISBN: 1119978521 Category : Technology & Engineering Languages : en Pages : 404
Book Description
Consolidating knowledge on Joint Source-Channel Coding (JSCC), this book provides an indispensable resource on a key area of performance enhancement for communications networks Presenting in one volume the key theories, concepts and important developments in the area of Joint Source-Channel Coding (JSCC), this book provides the fundamental material needed to enhance the performance of digital and wireless communication systems and networks. It comprehensively introduces JSCC technologies for communications systems, including coding and decoding algorithms, and emerging applications of JSCC in current wireless communications. The book covers the full range of theoretical and technical areas before concluding with a section considering recent applications and emerging designs for JSCC. A methodical reference for academic and industrial researchers, development engineers, system engineers, system architects and software engineers, this book: Explains how JSCC leads to high performance in communication systems and networks Consolidates key material from multiple disparate sources Is an ideal reference for graduate-level courses on digital or wireless communications, as well as courses on information theory Targets professionals involved with digital and wireless communications and networking systems
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: 
Author: 
Author: Guy Keshet
Author: Makesh Pravin John Wilson
Author: Norbert Goertz
Author: Makarand Mohan Jadhav
Author: L. Stenger
Author: John B. Anderson
Author: Bill Waggener
Author: Andres Kwasinski
Author: K. Deergha Rao