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Author: Songsri Sirianunpiboon Publisher: ISBN: Category : MIMO systems Languages : en Pages : 95
Book Description
"Multiple antennas at both the transmitter and receiver is known as multiple-input multiple-output (MIMO) system. This has emerged as the most promising technique for improving the performance of wireless digital transmission systems as well as allowing higher data rates to be obtained for a given bandwidth. A consequence of the MIMO wireless communications revolution is that multipath scattering of the transmitted signal has moved from being a problem to being a valuable resource. This has happened to such extent that MIMO systems have come to rely on this resource. However, away from dense urban and indoor environments such as Australian rural and remote areas with wide open spaces and flat or smooth undulating terrain such rich scattering can be hard to find. This research seeks to develop MIMO schemes which will give robust and reliable perfor?mance in environments that can change rapidly from rich scattering environment to clear line of sight between transmitter and receiver. Wireless communications system which are robust to changing environment conditions are a particular important factor in military communication systems as well as for civilian emergency services. In this work, polarization is proposed as a source of diversity in wireless communications. Polarization diversity is particularly suited to the Australian rural and remote environment where wide open spaces and flat or smooth undulating terrain give rise to line of sight conditions between the transmitter and the receiver. The polarization diversity of transmitted signals is mostly preserved by the line-of-sight environment, presenting an opportunity for transmitter and receiver diversity techniques. Another aspect of the research presented here is the development of fast, fixed complexity, decoding algorithms for space-time codes that are robust to the changing transmission conditions. Reliable high rate transmission over the MIMO system can only be achieved through "space-time coding". The major drawback of a number of potentially useful space-time codes is the high computational complexity of the known decoding algorithms. This is particular true for a number of codes which are best suited to the exploitation of polarization diversity. The existing "fast" decoding algorithm for this decoding problem, the so-called sphere decoder, has performance which depends crucially on the channel conditions. When the channel is close to singular, that is, when the channel between the base station and terminal is close to pure line-of-sight, the sphere decoder defaults to an exhaustive search. If such conditions persist the communication system could be in outage purely due to computational overload. In this project we develop fast decoding algorithms which have fixed complexity across all channel conditions. In particular, we present the fastest known fixed complexity decoding algorithm for the Golden code, an important code used in the WiMax standard for fully mobile internet access"--P. iii.
Author: Songsri Sirianunpiboon Publisher: ISBN: Category : MIMO systems Languages : en Pages : 95
Book Description
"Multiple antennas at both the transmitter and receiver is known as multiple-input multiple-output (MIMO) system. This has emerged as the most promising technique for improving the performance of wireless digital transmission systems as well as allowing higher data rates to be obtained for a given bandwidth. A consequence of the MIMO wireless communications revolution is that multipath scattering of the transmitted signal has moved from being a problem to being a valuable resource. This has happened to such extent that MIMO systems have come to rely on this resource. However, away from dense urban and indoor environments such as Australian rural and remote areas with wide open spaces and flat or smooth undulating terrain such rich scattering can be hard to find. This research seeks to develop MIMO schemes which will give robust and reliable perfor?mance in environments that can change rapidly from rich scattering environment to clear line of sight between transmitter and receiver. Wireless communications system which are robust to changing environment conditions are a particular important factor in military communication systems as well as for civilian emergency services. In this work, polarization is proposed as a source of diversity in wireless communications. Polarization diversity is particularly suited to the Australian rural and remote environment where wide open spaces and flat or smooth undulating terrain give rise to line of sight conditions between the transmitter and the receiver. The polarization diversity of transmitted signals is mostly preserved by the line-of-sight environment, presenting an opportunity for transmitter and receiver diversity techniques. Another aspect of the research presented here is the development of fast, fixed complexity, decoding algorithms for space-time codes that are robust to the changing transmission conditions. Reliable high rate transmission over the MIMO system can only be achieved through "space-time coding". The major drawback of a number of potentially useful space-time codes is the high computational complexity of the known decoding algorithms. This is particular true for a number of codes which are best suited to the exploitation of polarization diversity. The existing "fast" decoding algorithm for this decoding problem, the so-called sphere decoder, has performance which depends crucially on the channel conditions. When the channel is close to singular, that is, when the channel between the base station and terminal is close to pure line-of-sight, the sphere decoder defaults to an exhaustive search. If such conditions persist the communication system could be in outage purely due to computational overload. In this project we develop fast decoding algorithms which have fixed complexity across all channel conditions. In particular, we present the fastest known fixed complexity decoding algorithm for the Golden code, an important code used in the WiMax standard for fully mobile internet access"--P. iii.
Author: Publisher: ISBN: Category : Languages : en Pages : 108
Book Description
Multiple antennas at both the transmitter and receiver is known output (MIMO) as multiple-input multiple-system. This has emerged as the most promising technique for improving the performance of wireless digital transmission systems as well as allowing higher data rates to be obtained for a given bandwidth. A consequence of the MIMO wireless communications revolution is that multipath scattering of the transmitted signal has moved from being a problem to being a valuable resource. This has happened to such extent that MIMO systems have come to rely on this resource. However, away from dense urban and indoor environments such as Australian rural and remote areas with wide open spaces and flat or smooth undulating terrain such rich scattering can be hard to find. This research seeks to develop MIMO schemes which will give robust and reliable performance in environments that can change rapidly from rich scattering environment to clear line of sight between transmitter and receiver. Wirelesss communications system which are robust to changing environment conditions are a particular important factor in military communication systems as well as for civilian emergency services. In this work, polarization is proposed as a source of diversity in wireless communications. Polarization diversity is particularly suited to the Australian rural and remote environment where wide open spaces and flat or smooth undulating terrain give rise to line of sight conditions between the transmitter and the receiver. The polarization diversity of transmitted signals is mostly preserved by the line-of-sight environment presenting an opportunity for transmitter and receiver diversity techniques, Another aspect of the research presented here is the development of fast, fixed complexity, decoding algorithms for space-time codes that are robust to the changing transmission conditions. Reliable high rate transmission over the MIMO system ca only be achieved through "space-time coding."
Author: Jian Zhang Publisher: ISBN: Category : Equalizers (Electronics) Languages : en Pages : 252
Book Description
"This dissertation investigates single carrier frequency-domain equalization (SC-FDE) with multiple-input multiple-output (MIMO) channels for radio frequency (RF) and underwater acoustic (UWA) wireless communications. It consists of five papers, selected from a total of 13 publications. Each paper focuses on a specific technical challenge of the SC-FDE MIMO system. The first paper proposes an improved frequency-domain channel estimation method based on interpolation to track fast time-varying fading channels using a small amount of training symbols in a large data block. The second paper addresses the carrier frequency offset (CFO) problem using a new group-wise phase estimation and compensation algorithm to combat phase distortion caused by CFOs, rather than to explicitly estimate the CFOs. The third paper incorporates layered frequency-domain equalization with the phase correction algorithm to combat the fast phase rotation in coherent communications. In the fourth paper, the frequency-domain equalization combined with the turbo principle and soft successive interference cancelation [sic] (SSIC) is proposed to further improve the bit error rate (BER) performance of UWA communications. In the fifth paper, a bandwidth-efficient SC-FDE scheme incorporating decision-directed channel estimation is proposed for UWA MIMO communication systems. The proposed algorithms are tested by extensive computer simulations and real ocean experiment data. The results demonstrate significant performance improvements in four aspects: improved channel tracking, reduced BER, reduced computational complexity, and enhanced data efficiency"--Abstract, leaf iv.
Author: Frank Dietrich Publisher: Springer Science & Business Media ISBN: 3540742492 Category : Technology & Engineering Languages : en Pages : 286
Book Description
Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors. In this book, a systematic treatment of this practical design problem is provided.
Author: Agbotiname Lucky Imoize Publisher: John Wiley & Sons ISBN: 9781394228300 Category : Computers Languages : en Pages : 0
Book Description
Authoritative resource discussing the development of advanced massive multiple input multiple output (MIMO) techniques and algorithms for application in 6G Massive MIMO for Future Wireless Communication Systems analyzes applications and technology trends for massive multiple input multiple output (MIMO) in 6G and beyond, presenting a unified theoretical framework for analyzing the fundamental limits of massive MIMO that considers several practical constraints. In addition, this book develops advanced signal-processing algorithms to enable massive MIMO applications in realistic environments. The book looks closer at applying techniques to massive MIMO in order to meet practical network constraints in 6G networks, such as interference, pathloss, delay, and traffic outage, and provides new insights into real-world deployment scenarios, applications, management, and associated benefits of robust, provably secure, and efficient security and privacy schemes for massive MIMO wireless communication networks. To aid in reader comprehension, this book includes a glossary of terms, resources for further reading via a detailed bibliography, and useful figures and summary tables throughout. With contributions from industry experts and researchers across the world and edited by two leaders in the field, Massive MIMO for Future Wireless Communication Systems includes information on: Signal processing algorithms for cell-free massive MIMO systems and advanced mathematical tools to analyze multiuser dynamics in wireless channels Bit error rate (BER) performance comparisons of different detectors in conventional cell-free massive MIMO systems Enhancement of massive MIMO using deep learning-based channel estimation and cell-free massive MIMO for wireless federated learning Low-complexity, self-organizing, and energy-efficient massive MIMO architectures, including the prospects and challenges of Terahertz MIMO systems Massive MIMO for Future Wireless Communication Systems is an essential resource on the subject for industry and academic researchers, advanced students, scientists, and engineers in the fields of MIMO, antennas, sensing and channel measurements, and modeling technologies.
Author: Christopher Gene Potter Publisher: ISBN: Category : Kalman filtering Languages : en Pages : 228
Book Description
"In the first work a recurrent neural network (RNN) is employed for MIMO channel prediction. A novel PSO-EA-DEPSO off-line training algorithm is presented and is shown to outperform PSO, PSO-EA, and DEPSO. This predictor is shown to be robust to varying channel scenarios. New expressions for the received SNR, array gain, average probability of error, and diversity gain are derived. Next, a new expression for the outage capacity of a MIMO system with no CSI at the transmitter and an estimate at the receiver is presented. Since the outage capacity is a function of the first and second moments of the mutual information, new closed form approximations are derived at low and high effective SNR. Also at low effective SNR a new result for the outage capacity is presented. Finally, the outage capacity for a frequency selective channel is derived. This is followed by a MIMO RNN predictor that operates online. A single RNN is constructed to predict all of the MIMO sub-channels instantaneously. The extended Kalman filter (EKF) and real-time recurrent learning (RTRL) algorithms are applied to compare the MSE of the prediction error. A new expression for the channel estimation error of a continuously varying MIMO channel is derived next. The optimal amount of time to send training pilots is investigated for different channel scenarios. Special cases of the new expression for the channel estimation error lead to previously established results. The last work investigates the performance of a MIMO aeronautical system in a two- ray ground reflection scenario. The ergodic capacity is analyzed when the altitude, horizontal displacement, antenna separation, and aircraft velocity are varied"--Abstract, leaf iv.
Author: Weimin Duan Publisher: ISBN: Category : Feedback control systems Languages : en Pages : 119
Book Description
"This dissertation proposes three low-complexity iterative receiver algorithms for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First is a bidirectional soft-decision feedback Turbo equalizer (Bi-SDFE) which harvests the time-reverse diversity in severe multipath MIMO channels. The Bi-SDFE outperforms the original soft-decision feedback Turbo equalizer (SDFE) while keeping its total computational complexity similar to that of the SDFE. Second, this dissertation proposes an efficient direct adaptation Turbo equalizer for MIMO UWA communications. Benefiting from the usage of soft-decision reference symbols for parameter adaptation as well as the iterative processing inside the adaptive equalizer, the proposed algorithm is efficient in four aspects: robust performance in tough channels, high spectral efficiency with short training overhead, time efficient with fast convergence and low complexity in hardware implementation. Third, a frequency-domain soft-decision block iterative equalizer combined with iterative channel estimation is proposed for the uncoded single carrier MIMO systems with high data efficiency. All the three new algorithms are evaluated by data recorded in real world ocean experiment or pool experiment. Finally, this dissertation also compares several Turbo equalizers in single-input single-output (SISO) UWA channels. Experimental results show that the channel estimation based Turbo equalizers are robust in SISO underwater transmission under harsh channel conditions"--Abstract, page iv.
Author: Alex Gershman Publisher: John Wiley & Sons ISBN: 0470010037 Category : Technology & Engineering Languages : en Pages : 388
Book Description
Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area. Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization. Includes detailed coverage of wireless channel sounding, modelling, characterization and model validation. Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes. Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO downlink using full or partial CSI. Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe. This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field.
Author: Songsri Sirianunpiboon
Author: Songsri Sirianunpiboon
Author: 
Author: Jian Zhang
Author: Frank Dietrich
Author: Jarir Fadlullah
Author: Agbotiname Lucky Imoize
Author: Christopher Gene Potter
Author: Weimin Duan
Author: Zhihong Hong
Author: Alex Gershman