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Multi-user source coding -- joint source-channel decoding -- iterative decoding -- CDMA -- multi-user detection.
Coordinated Multiuser Communications provides for the first time a unified treatment of multiuser detection and multiuser decoding in a single volume. Many communications systems, such as cellular mobile radio and wireless local area networks, are subject to multiple-access interference, caused by a multitude of users sharing a common transmission medium. The performance of receiver systems in such cases can be greatly improved by the application of joint detection and decoding methods. Multiuser detection and decoding not only improve system reliability and capacity, they also simplify the problem of resource allocation. Coordinated Multiuser Communications provides the reader with tools for the design and analysis of joint detection and joint decoding methods. These methods are developed within a unified framework of linear multiple-access channels, which includes code-division multiple-access, multiple antenna channels and orthogonal frequency division multiple access. Emphasis is placed on practical implementation aspects and modern iterative processing techniques for systems both with, and without integrated error control coding. Focusing on the theory and practice of unifying accessing and transmission aspects of communications, this book is a valuable reference for students, researchers and practicing engineers.
The following thesis developed in the área of Electrical Engineering and Telecom-munications is aimed at improving current CDMA wireless network capabilities specif-ically targeting the transmission of JPEG compressed data with the possibility of a continued investigation in the transmission of MPEG video format. The aim or objec-tive is to genérate a solution to current transmission problems faced in 3rd generation CDMA networks where band limited transmission limits the capabilities of the network in delivering large data files such as image or video adequately. The rising importance in expanding network capabilities for CDMA networks, in this case for image transmission, is evident because of several factors including the following: One of these factors is the increasing popularity of CDMA since its creation in 1995. In the cellular branch alone, there are over an estimates 106 million users utilizing a CDMA based network. This rapid increase is due to the fact that CDMA is able to support múltiple users on one frequency channel, as will be discussed later. Secondly and more importantly, the growing demand for image and video trans- J mission generated by increasing multimedia usage has created the recent need to * transmit video data over this and other types of wireless networks. In particular, the following thesis is thus aimed at improving the JPEG image compression algorithm for an SOOMHz CDMA Cellular wireless network. In order to increase the efficiency of current image transmission over CDMA networks this thesis proposes jointly designing the source and channel code to genérate an enhanced image compression algorithm. In order to accomplish this we will utilize a Rayleigh Fading Model to simúlate the channel over which we will be transmitting and then include this information into the compression algorithm; our goal being to manipúlate the image compression algorithm to improve image transmission over a specific channel and médium (i.e. An SOOMHz wireless network). Furthermore, given that our expected results are met, we can also review the efficiency (bit compression) of our algorithm for transmission and henee review new possibilities for increased error correction in the transmission of image and video data. In addition, as mentioned before, an ongoing investigation in this área using the ideas presented in this paper applied to the MPEG compression algorithm could lead to an enhanced algorithm for video transmission over the same médium.
A Timely Exploration of Multiuser Detection in Wireless Networks During the past decade, the design and development of current and emerging wireless systems have motivated many important advances in multiuser detection. This book fills an important need by providing a comprehensive overview of crucial recent developments that have occurred in this active research area. Each chapter is contributed by noted experts and is meant to serve as a self-contained treatment of the topic. Coverage includes: Linear and decision feedback methods Iterative multiuser detection and decoding Multiuser detection in the presence of channel impairments Performance analysis with random signatures and channels Joint detection methods for MIMO channels Interference avoidance methods at the transmitter Transmitter precoding methods for the MIMO downlink This book is an ideal entry point for exploring ongoing research in multiuser detection and for learning about the field's existing unsolved problems and issues. It is a valuable resource for researchers, engineers, and graduate students who are involved in the area of digital communications.
Interference Cancellation Using Space-Time Processing and Precoding Design introduces original design methods to achieve interference cancellation, low-complexity decoding and full diversity for a series of multi-user systems. In multi-user environments, co-channel interference will diminish the performance of wireless communications systems. In this book, we investigate how to design robust space-time codes and pre-coders to suppress the co-channel interference when multiple antennas are available. This book offers a valuable reference work for graduate students, academic researchers and engineers who are interested in interference cancellation in wireless communications. Rigorous performance analysis and various simulation illustrations are included for each design method. Dr. Feng Li is a scientific researcher at Cornell University.
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.
Future broadband wireless communication systems are expected to be able to offer new and powerful services enabling fast transmission rates of several tens of Mbit/s. This is an ambitious challenge especially for mobile communication systems since these systems should be able to cope with severely time dispersive channels, associated to the signal multipath propagation. Moreover, these systems should have high spectral and power efficiencies, as well as high capacity and flexibility. Spread spectrum techniques, particularly coded division multiple access (CDMA) techniques allow high capacity and flexibility, continuous transmission requiring low-peak power requirements for the amplifiers, as well as some robustness against fading and time-dispersion effects associated with the multipath propagation. When employed in prefix assisted (PA) block transmission schemes combined with frequency-domain receiver implementations they become especially interesting for broadband wireless systems. In Frequency-Domain Multiuser Detection for CDMA Systems the use of PA block transmission is considered in the context of both DS (Direct Sequence) and MC (Multicarrier) CDMA schemes. The main goal is the study of frequency-domain multiuser detection techniques with iterative signal detection/decoding techniques, also in combination with estimation and cancelation of nonlinear distortion effects. The receiver structures are suitable to scenarios with high interference levels and strongly time-dispersive channels.