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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.
The widespread use of adaptation techniques has helped to meet the increased demand for new applications. From adaptive signal processing to cross layer design, Adaptation in Wireless Communications covers all aspects of adaptation in wireless communications in a two-volume set. Each volume provides a unified framework for understanding adaptation and relates various specializations through common terminologies. In addition to simplified state-of-the-art cross layer design approaches, they also describe advanced techniques, such as adaptive resource management, 4G communications, and energy and mobility aware MAC protocols.
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. Adaptation and Cross Layer Design in Wireless Networks is devoted to adaptation in the data link layer, network layer, and application layer. The book presents state-of-the-art adaptation techniques and methodologies, including cross-layer adaptation, joint signal processing, coding and networking, selfishness in mobile ad hoc networks, cooperative and opportunistic protocols, adaptation techniques for multimedia support, self –organizing routing, and tunable security services. It presents several new theoretical paradigms and analytical findings which are supported with various simulation and experimental results. Adaptation in wireless communications is needed in order to achieve high capacity and ubiquitous communications. The current trend in wireless communication systems is to make adaptation dependent upon the state of the relevant parameters in all layers of the system. Focusing on simplified cross layer design approaches, this volume describes advanced techniques such as adaptive resource management, adaptive modulation and coding, 4G communications, QoS, diversity combining, and energy and mobility aware MAC protocols. The first volume in the series, Adaptive Signal Processing in Wireless Communications (cat no.46012) covers adaptive signal processing at the physical layer.
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. Adaptation and Cross Layer Design in Wireless Networks is devoted to adaptation in the data link layer, network layer, and application layer. The book presents state-of-the-art adaptation techniques and methodologies, including cross-layer adaptation, joint signal processing, coding and networking, selfishness in mobile ad hoc networks, cooperative and opportunistic protocols, adaptation techniques for multimedia support, self –organizing routing, and tunable security services. It presents several new theoretical paradigms and analytical findings which are supported with various simulation and experimental results. Adaptation in wireless communications is needed in order to achieve high capacity and ubiquitous communications. The current trend in wireless communication systems is to make adaptation dependent upon the state of the relevant parameters in all layers of the system. Focusing on simplified cross layer design approaches, this volume describes advanced techniques such as adaptive resource management, adaptive modulation and coding, 4G communications, QoS, diversity combining, and energy and mobility aware MAC protocols. The first volume in the series, Adaptive Signal Processing in Wireless Communications (cat no.46012) covers adaptive signal processing at the physical layer.
The widespread use of adaptation techniques has helped to meet the increased demand for new applications. From adaptive signal processing to cross layer design, Adaptation in Wireless Communications covers all aspects of adaptation in wireless communications in a two-volume set. Each volume provides a unified framework for understanding adaptation and relates various specializations through common terminologies. In addition to simplified state-of-the-art cross layer design approaches, they also describe advanced techniques, such as adaptive resource management, 4G communications, and energy and mobility aware MAC protocols.
The widespread use of adaptation techniques has helped to meet the increased demand for new applications. From adaptive signal processing to cross layer design, Adaptation in Wireless Communications covers all aspects of adaptation in wireless communications in a two-volume set. Each volume provides a unified framework for understanding adaptation and relates various specializations through common terminologies. In addition to simplified state-of-the-art cross layer design approaches, they also describe advanced techniques, such as adaptive resource management, 4G communications, and energy and mobility aware MAC protocols.
In this research we propose two novel adaptive signal processing techniques to enhance the quality of a received signal that is transmitted over a wireless communication link. In the first we develop a family of efficient echo cancellation algorithms that require no knowledge of the echo-path. Echoes significantly degrade the quality of service in wireless communications because of extra delay introduced into the transmission path from the speech compression/decompression process. To remove these echoes we must identify the echo-path impulse response that in general is sparse (predominantly zero). This makes it desirable to adapt only those filter coefficients corresponding to the non-zero regions of the impulse response. To accomplish this we exploit the hierarchical structure and temporal localization property of the wavelet decomposition. In this way we are able to adapt a small subset of filter coefficients and then, based on the coefficients that are significantly different from zero, to accurately identify the remaining coefficients that require adaptation as well. This approach was previously applied to the case of the Haar transform. The current work generalizes it to the wavelet decomposition in which any orthogonal or bi-orthogonal wavelet can be used. Due to the ability of longer wavelets to achieve greater input decorrelation, the resulting algorithm is capable of a significant improvement in convergence speed and computational complexity over LMS. The other novel adaptive technique we propose is in the physical layer to reduce the effect of multiple-access interference (MAI) for direct-sequence code-division multiple-access (DS-CDMA) wireless communication systems. A DS-CDMA system allows many users to share the same spectrum and distinguishes different user's data through the use of signature codes. In practice, these signature codes are not orthogonal and therefore data from different users interfere with each other and creates MAI. Past approaches have either used classical estimation techniques where each unknown user symbol to be estimated is treated as a deterministic parameter, or Bayesian techniques that treat each unknown user symbol as a stochastic parameter but restrict it to a finite set of discrete possible values. In this research, we employ Bayesian estimation such that each user symbol is treated as a stochastic parameter with continuous Gaussian distributions centered at the true symbol values of the data constellation. This allows us to develop a gradient-based maximum a posteriori (MAP) estimator that takes the structure of the particular symbol constellation into account in order to dramatically improve symbol estimation accuracy.
This innovative book sets forth two promising wireless approachesthat support high-quality, high-speed data and multimediaservice-multiple antenna technologies and cross layer transmitteradaptation designs-while highlighting the relationships andinteractions between them. The latest advanced technologies ofchannel adaptation techniques for wireless communication systemswith multiple antennas are thoroughly investigated. The book is divided into three parts, first giving readers a goodfoundation in underlying theory, then exploring applications aswell as advanced topics: * Part 1 examines theoretical aspects of channel adaptation inwireless communications for point-to-point and multi-user systemswith multiple antennas * Part 2 focuses on the applications of the channel-adaptivetechnologies in practical systems such as UMTS * Part 3 delves into topics such as multi-user scheduling forwideband systems, combined queuing theory and information theory,and ad hoc routing Using a hands-on, practical approach, Channel Adaptive Technologiesand Cross Layer Designs for Wireless Systems with Multiple Antennasthoroughly covers detailed design considerations that help readersunderstand how to apply theory to real-world systems. Emphasisthroughout the book is on joint optimization across differentlayers of a communications system based on an integrated approach.Examples of popular wireless systems, such as TDMA, wideband CDMA(UMTS), and HSDPA, are used throughout as practical illustrations.Each chapter ends with a summary that reviews key points and a setof problems that lets readers test their knowledge and continue todevelop their skills as they progress to new topics. Figures andtables are also used extensively to help readers visualize complextheory and systems. Combining theory, design, and application into one integratedapproach, this is a superior reference for advanced communicationstheory courses.