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Robust Multiple-Input-Output Communications

Robust Multiple-Input-Output Communications PDF 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."

Robust Multiple-Input-Output Communications

Robust Multiple-Input-Output Communications PDF 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."

Robust Multiple-input Multiple-output Communications

Robust Multiple-input Multiple-output Communications PDF 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.

Robust Signal Processing for Wireless Communications

Robust Signal Processing for Wireless Communications PDF 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.

Robust Frequency-domain Turbo Equalization for Multiple-input Multiple-output (MIMO) Wireless Communications

Robust Frequency-domain Turbo Equalization for Multiple-input Multiple-output (MIMO) Wireless Communications PDF 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.

A Generalized Approach to Model and Optimize Multi-input Multi-output Communication and Imaging Systems

A Generalized Approach to Model and Optimize Multi-input Multi-output Communication and Imaging Systems PDF Author: Jarir Fadlullah
Publisher:
ISBN:
Category :
Languages : en
Pages : 234

Book Description


Communications and Networking

Communications and Networking PDF Author: Qianbin Chen
Publisher: Springer
ISBN: 3319666258
Category : Computers
Languages : en
Pages : 516

Book Description
The two-volume set LNICST 209-210 constitutes the post-conference proceedings of the 11th EAI International Conference on Communications and Networking, ChinaCom 2016, held in Chongqing, China, in September 2016. The total of 107 contributions presented in these volumes are carefully reviewed and selected from 181 submissions. The book is organized in topical sections on MAC schemes, traffic algorithms and routing algorithms, security, coding schemes, relay systems, optical systems and networks, signal detection and estimation, energy harvesting systems, resource allocation schemes, network architecture and SDM, heterogeneous networks, IoT (Internet of Things), hardware design and implementation, mobility management, SDN and clouds, navigation, tracking and localization, future mobile networks.

Stochastic Game Strategies and their Applications

Stochastic Game Strategies and their Applications PDF Author: Bor-Sen Chen
Publisher: CRC Press
ISBN: 0429780508
Category : Mathematics
Languages : en
Pages : 333

Book Description
Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H∞ game strategy, n-person cooperative and noncooperative game strategy are discussed for linear and nonlinear stochastic systems along with some computational algorithms developed to efficiently solve these game strategies.

Robust Coding Methods for Space-time Wireless Communications

Robust Coding Methods for Space-time Wireless Communications PDF Author: Zhihong Hong
Publisher:
ISBN:
Category :
Languages : en
Pages : 82

Book Description
Keywords: space-time coding, multiple-input multiple-output (MIMO), trellis codes, differential modulation, iterative decoding.

Decoding Wireless Communications

Decoding Wireless Communications PDF Author: Attaphongse Taparugssanagorn
Publisher: Cambridge Scholars Publishing
ISBN: 1036407055
Category : Technology & Engineering
Languages : en
Pages : 288

Book Description
Step into the captivating context of wireless technology with “Decoding Wireless Communications: Bridging Technology and Everyday Life.” Even if you are new to telecommunication engineering, this book makes the journey accessible and engaging. Through relatable analogies and insightful explanations, complex concepts become clear and relatable. Picture wireless networks as bustling cafes, and diversity techniques as the harmonious interplay of musicians in a band. Each chapter unfolds seamlessly, from combating interference with equalizers to navigating the multitasking marvels of Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM). Explore the boundaries of wireless capacity and glimpse the future of 5G, Artificial Intelligence (AI), and the Internet of Things (IoT). Whether you are a curious beginner or a seasoned professional, this book promises an enlightening journey. With its blend of practical insights and thought-provoking reflections, “Decoding Wireless Communications” is your indispensable guide to thriving in our interconnected world. Prepare to be inspired and equipped with the knowledge to decode the intricacies of wireless technology. Grab your copy now and set forth on a journey of discovery that seamlessly intertwines technology with the fabric of everyday life.

Transmission Strategies for Wireless Multi-user, Multiple-input, Multiple-output Communication Channels

Transmission Strategies for Wireless Multi-user, Multiple-input, Multiple-output Communication Channels PDF Author: Quentin H. Spencer
Publisher:
ISBN:
Category : Wireless communication systems
Languages : en
Pages : 145

Book Description
The closed-form solutions generally require less computation, but the iterative solutions offer improved performance are more robust to channel estimation errors, and thus may be more useful in practical applications. The performance of these algorithms were tested under realistic channel conditions by testing them on channels derived from both measurement data and a statistical model of an indoor propagation environment. These tests demonstrated both the ability of the channel to support multiple users, and the expected amount of channel estimation error due to movement of the users, with promising results. The success of any multi-user MIMO processing algorithm is ultimately dependent on the degree of correlation between the users2 channels. If a base station is required to support a large number of users, one way to ensure minimal correlation between users2 channels is to select groups of users whose channels are most compatible. The globally optimal solution to this problem is not possible without an exhaustive search, so a channel allocation algorithm is proposed that attempts to intelligently select groups of users at a more reasonable computational cost.