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Finally, for vertical Bell Laboratories layered space-time OFDM systems, we propose an iterative channel estimator based on a PSAM structure for time-varying multipath fading channels. By exploiting the statistical properties of a wireless channel, we also develop a method to suppress intercarrier interference due to the channel time selectivity, and propose a low-complexity iterative channel estimator that exploits a priori information in an efficient manner.
Discover cutting-edge research in wireless communications This book presents cutting-edge research in wireless communications, particularly in the fast-growing subject of multiple-input multiple-output (MIMO) wireless communication systems. It begins with an introduction, which includes historical notes and a review of turbo-information processing and MIMO wireless communications, and goes on to cover: MIMO channel capacity BLAST architectures Space-time turbo codes and turbo decoding principles Turbo-BLAST Turbo-MIMO systems The material is complemented with abundant illustrations and computer experiments that are designed to help readers reinforce their understanding of the underlying subject matter. Space-Time Layered Information Processing for Wireless Communications is an ideal resource for researchers in academia and industry and an excellent textbook for related courses at the graduate level.
Transmission of broadband signals over a multi-antenna multipath fading channel induces intersymbol interference (ISI) at the receiver end. A main task of the space-time signal processor in reception is to combat the ISI effect with the aid of channel equalization techniques. An attractive alternative in case of coded transmission, is turbo equalization which consists on iteratively exchanging decisions between the equalizer and the channel decoder in the form of log-likelihood ratio (LLR) values, to improve information bit decisions at each iteration. This thesis focuses on efficient turbo equalization and multiuser detection schemes for coded space-time transmission over MIMO-ISI channels. We propose a low-complexity turbo receiver architecture for performing channel estimation and equalization iteratively with channel decoding for single user coded space-time transmission, and provide its variant in case of unknown co-channel interference (UCCI)-limited MIMO channels. The soft equalization concept relies on a successive interference cancellation (SIC) scheme derived under a minimum mean square error (MMSE) formalism. It particularly allows low computational complexity compared with existing techniques. The channel estimation algorithm is also MMSE based, and exchanges soft information with the channel decoder and the soft equalizer to improve channel state information (CSI) reliability at each iteration. A second contribution of this thesis is a reduced complexity iterative receiver technique for multiuser multi-antenna coded systems. The considered framework supposes that users employ different pilot sequences. At the receiver end, multiuser interference (MUI) cancellation, channel estimation, equalization, and channel decoding are iterated to reduce each user's error rate at each iteration. Efficient covariance matrices estimation tools are employed for dramatically decreasing receiver's computational complexity. Simulation results show that with a number of receive antennas less than the total number of transmit antennas in the system, the proposed scheme allows good bit error rate (BER) performance compared with the single user bound.
This 2006 book describes the fundamental theory and practical aspects of using ASP, and ISP, to improve receiver performance.
As a result of higher frequencies and increased user mobility, researchers and systems designers are shifting their focus from time-invariant models to channels that vary within a block. Wireless Communications Over Rapidly Time-Varying Channels explains the latest theoretical advances and practical methods to give an understanding of rapidly time varying channels, together with performance trade-offs and potential performance gains, providing the expertise to develop future wireless systems technology. As well as an overview of the issues of developing wireless systems using time-varying channels, the book gives extensive coverage to methods for estimating and equalizing rapidly time-varying channels, including a discussion of training data optimization, as well as providing models and transceiver methods for time-varying ultra-wideband channels. An introduction to time-varying channel models gives in a nutshell the important issues of developing wireless systems technology using time-varying channels Extensive coverage of methods for estimating and equalizing rapidly time-varying channels, including a discussion of training data optimization, enables development of high performance wireless systems Chapters on transceiver design for OFDM and receiver algorithms for MIMO communication channels over time-varying channels, with an emphasis on modern iterative turbo-style architectures, demonstrates how these important technologies can optimize future wireless systems
Single Input Single Output (SISO) Orthogonal Frequency Division Multiplexing (OFDM) systems have been adopted in many of the recent wireless communication standards such as European terrestrial broadcast systems based on DVB-H, DVB-T and DVB-T2. For OFDM systems, cyclic prefix of sufficient length makes the receiver design simple in frequency-selective multipath environments. Wireless communication based on Multiple Input Multiple Output (MIMO) systems has gained popularity due to the potential capacity increases it can provide. MIMO-OFDM based transmission systems can thus provide very high data rates with a relatively simple receiver design and are now adopted widely in recent wireless communication standards such as Long Term Evolution (LTE), WiMAX and WiFi. Modern wireless communication applications, both SISO and MIMO, require high data rates at high carrier frequencies and at high levels of mobility. This results in less intercarrier spacing and severe time-varying frequency-selective multipath fading, which breaks the orthogonality of subcarriers and causes intercarrier interference (ICI) in the received signal thus severely impacting the BER performance of the receiver. Hence, efficient receiver design which is fundamental to any communication system is ever more relevant. Turbo iterative receivers (IR) are based on the observation that performance of the system can be significantly improved if detection and decoding are combined together. They, in general, are found to have superior performance compared to other solutions, however turbo IRs usually suffer from high computational complexity which makes their implementation expensive. Such practical application challenges motivate us to propose a new, low complexity, Turbo IR for SISO and MIMO OFDM systems under time varying frequency selective channel conditions. Motivated by the classical TE, we first propose a sub-optimal, successive interference cancellation and MAP decoding (SIC-MAP) algorithm for SISO systems. In SIC-MAP, copies of the received signal on the same and adjacent subcarriers are carefully combined to take advantage of the frequency diversity (on account of the time variations of the channel) while eliminating the interference from the other transmit symbols leveraging the feedback information from the decoder. The resulting system matrix becomes a single column vector which allows an easy MAP decoding. BER performance, computation complexity, and convergence behavior of the proposed scheme has been contrasted with two other similar schemes. It has been found that SIC-MAP, while having near identical performance to the competing schemes, can be implemented approximately with only a third of their computational complexity. Subsequently, we extend the above detection idea, SIC-MAP, to MIMO systems (SIC-MAP-MIMO). Unlike single antenna systems, even under static multipath channel conditions, the received signal in a MIMO receiver is corrupted by the co-antenna interference (CAI), thus making the detection task more challenging. SIC-MAP-MIMO algorithm achieves comparable BER performance to the competing equalization schemes but with even more computational savings than SISO. A low complexity Least Squares (LS) based iterative channel estimation scheme using soft feedback information has also been proposed. This scheme is especially suitable when the number of significant channel taps is higher than the number of pilots, a phenomenon that is often encountered in practical systems.
Fully revised and updated version of the successful "AdvancedWireless Communications" Wireless communications continue to attract the attention ofboth research community and industry. Since the first edition waspublished significant research and industry activities have broughtthe fourth generation (4G) of wireless communications systemscloser to implementation and standardization. "Advanced Wireless Communications" continues to provide acomparative study of enabling technologies for 4G. This secondedition has been revised and updated and now includes additionalinformation on the components of common air interface, includingthe area of space time coding , multicarrier modulation especiallyOFDM, MIMO, cognitive radio and cooperative transmission. Ideal for students and engineers in research and development inthe field of wireless communications, the second edition ofAdvanced Wireless Communications also gives an understanding tocurrent approaches for engineers in telecomm operators, governmentand regulatory institutions. New features include: Brand new chapter covering linear precoding in MIMO channelsbased on convex optimization theory. Material based on game theory modelling encompassing problemsof adjacent cell interference, flexible spectra sharing andcooperation between the nodes in ad hoc networks. Presents and discusses the latest schemes for interferencesuppression in ultra wide band (UWB) cognitive systems. Discusses the cooperative transmission and more details onpositioning.
Analysing and designing reliable and fast wireless networks requires an understanding of the theory underpinning these systems and the engineering complexities of their implementation. This text describes the underlying principles and major applications of high-speed wireless technologies, with emphasis on ultra-wideband (UWB) wireless systems, 3G long term evolution, and 4G mobile networks. Key topics such as cross-layer optimization are discussed in detail and various forms of UWB, including multi-band OFDM UWB, are covered. Recent research developments are described before identifying the scope and direction for future research. The overlay problem (interference problem) in UWB is discussed, and the author aims to illustrate that OFDM is not the best wireless access technique for high speed transmission. Covering the latest technologies in the area, this book will be a valuable resource for graduate students of electrical and computer engineering as well as practitioners in the wireless communications industry.