Near-Capacity Multi-Functional MIMO Systems: Sphere-Packing, Iterative Detection and Cooperation (IEEE Press) - Hardcover

Hanzo, Lajos; Alamri, Osamah; El-Hajjar, Mohammed; Wu, Nan

Hardcover

ISBN 10: 0470779659 ISBN 13: 9780470779651

Verlag: Wiley-IEEE Press, 2009

Inhaltsangabe

Providing an all-encompassing self-contained treatment of Near-Capacity Multi-Functional MIMO Systems , the book starts by categorizing the family of Multiple-Input Multiple-Output (MIMO) schemes as diversity techniques, multiplexing schemes, multiple access arrangements and beam-forming techniques. Sophisticated coherent and low-complexity non-coherent MIMO receivers dispensing with channel estimation are considered in both classic and cooperation-aided scenarios. It is demonstrated that in the presence of correlated shadow-fading, cooperation-assisted systems may be expected to outperform their non-cooperative counterparts. The book contains a 100-page chapter on the unified treatment of all block codes in the context of high-flexibility, cutting-edge irregular Linear Dispersion Codes (LDC), which approach the MIMO-capacity. The majority of the book’s solutions are in the optimum sphere-packing frame-work.

• Sophisticated amalgam of five year’s near-capacity MIMO research
• Detailed examination of wireless landscape, including the fields of channel coding, spacetime coding and turbo detection techniques
• Novel tool of Extrinsic Information Transfer Charts (EXIT) used to address recent developments
• Material presented logically, allowing advanced readers to turn directly to any specific chapter of interest
• One of the only books to cover these subjects, giving equal weighting to each

Über diesen Titel

Über die Autorin bzw. den Autor

Lajos Hanzo FREng, FIEEE, FIET, DSc received his degree in electronics in 1976 and his doctorate in 1983. During his 31-year career in telecommunications he has held various research and academic posts in Hungary, Germany and the UK. Since 1986 he has been with the School of Electronics and Computer Science, University of Southampton, UK, where he holds the chair in telecommunications. He has co-authored 17 books on mobile radio communications totaling in excess of 10 000 pages, published in excess of 800 research papers, acted as TPC Chair of several IEEE conferences, presented keynote lectures and been awarded a number of distinctions. Currently he is directing an academic research team, working on a range of research projects in the field of wireless multimedia communications sponsored by industry, the Engineering and Physical Sciences Research Council (EPSRC) UK, the European IST Programme and the Mobile Virtual Centre of Excellence (VCE), UK. He is an enthusiastic supporter of industrial and academic liaison and he offers a range of industrial courses. He is also an IEEE Distinguished Lecturer as well as a Governor of both the IEEE ComSoc and the VTS. He is the acting Editor-in-Chief of the IEEE Press. For further information on research in progress and associated publications please refer to http://www-mobile.ecs.soton.ac.uk.

Osamah Rashed Alamri received his BS degree with first class honours in electrical engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, in 1997, where he was ranked first with a 4.0 GPA. In 2002, he received his MS degree in electrical engineering from Stanford University, California, USA. He submitted his PhD thesis in October 2006 and published in excess of 20 research papers while working towards his PhD degree with the Communications Group, School of Electronics and Computer Science, University of Southampton, UK. His research interests include sphere packing modulation, space-time coding, turbo coding and detection, multi-dimensional mapping and MIMO systems. At the time of writing he is continuing his investigations as a post-doctoral researcher.

Mohammed El-Hajjar received his BEng degree (with distinction) in electrical engineering from the American University of Beirut (AUB), Lebanon, and his MSc degree (with distinction) in radio frequency communication systems from the University of Southampton, UK. Since October 2005, he has been working towards his PhD degree with the Communications Group, School of Electronics and Computer Science, University of Southampton, UK. He is the recipient of several academic awards from the AUB as well as the University of Southampton. His research interests include sphere packing modulation, space-time coding, differential space-time spreading, adaptive transceiver design and cooperative communications. In 2008 he completed his PhD thesis and joined Ensigma in Chepstow, Wales, UK, as a wireless system architect.

Nan Wu received his BEng in electronics engineering in 2003 from Dalian University of Technology, China. He then moved to the UK and received his MSc degree (with distinction) and PhD from the University of Southampton,UK in 2004 and 2008, respectively.His research interests are in the area of wireless communications, including space-time coding, channel coding and cooperative MIMO systems. In September 2008 he joined the National Institute of Standards and Technology (NIST) in the USA as a guest researcher working on cross-layer designs.

• Sophisticated amalgam of five year’s near-capacity MIMO research
• Detailed examination of wireless landscape, including the fields of channel coding, spacetime coding and turbo detection techniques
• Novel tool of Extrinsic Information Transfer Charts (EXIT) used to address recent developments
• Material presented logically, allowing advanced readers to turn directly to any specific chapter of interest
• One of the only books to cover these subjects, giving equal weighting to each

• Sophisticated amalgam of five year’s near-capacity MIMO research
• Detailed examination of wireless landscape, including the fields of channel coding, spacetime coding and turbo detection techniques
• Novel tool of Extrinsic Information Transfer Charts (EXIT) used to address recent developments
• Material presented logically, allowing advanced readers to turn directly to any specific chapter of interest
• One of the only books to cover these subjects, giving equal weighting to each

Auszug. © Genehmigter Nachdruck. Alle Rechte vorbehalten.

Near-Capacity Multi-Functional MIMO Systems

Sphere-Packing, Iterative Detection and CooperationBy Lajos Hanzo Osamah Alamri Mohammed El-Hajjar Nan Wu

John Wiley & Sons

Copyright © 2009 John Wiley & Sons, Ltd
All right reserved.
ISBN: 978-0-470-77965-1

Chapter One

Problem Formulation, Objectives and Benefits

The objective of this light-hearted introductory chapter is to provide a brief rudimentary exposure of the pivotal aspects of the book. Our treatment in this chapter is conceptual, rather than mathematically motivated, with the objective of characterizing the attainable diversity gains, multiplexing gains and beamforming gains. All issues touched upon in this chapter are revisited in a more rigorous mathematical approach in the remaining chapters.

Digital communication exploiting Multiple-Input Multiple-Output (MIMO) wireless channels has recently attracted considerable attention as one of the most significant technical breakthroughs in modern communications. Soon after its invention, the technology seems to have the potential to be part of large-scale standards-driven commercial wireless products and networks such as broadband wireless access systems, Wireless Local Area Networks (WLANs), third-generation (3G) networks and beyond. The 3G systems are expected to have the capability to support circuit and packet data at high bit rates. Rates of 144 kbit [s.sup.-1] or higher in high mobility (vehicular) traffic, 384 kbit [s.sup.-1] for pedestrian traffic and 2 Mbit [s.sup.-1] or higher for indoor traffic are targeted. Wireless systems that employ multiple antennas provide a promising platform for achieving such high rates because of the improved bit/symbol capacity compared with the Single-Input Single-Output (SISO) systems.

As shown in Figure 1.1, MIMO systems can be defined as wireless communication systems for which the transmitting end as well as the receiving end is equipped with multiple antenna elements. The basic concept of MIMO is that the transmitted signals from all transmit antennas are combined at each receive antenna element in such a way as to improve the Bit Error Rate (BER) performance or the data rate (bit [s.sup.-1]) of the transmission. Both the network's Quality of Service (QoS) and the operator's revenues can be increased significantly because of this advantage of MIMO systems. One can think of MIMO systems as an extension to smart antennas. However, the idea of using antenna arrays for improving the wireless transmission was introduced several decades ago.

Space-Time Processing (STP) is the core concept of MIMO systems. Time is the natural dimension of digital communication data. Space refers to the spatial dimension inherent in the use of multiple spatially distributed antennas. Most of the current interest in SpaceTime Coding (STC) is driven by discoveries in the late 1980s and early 1990s that multiple antennas can exploit a rich wireless scattering environment and benefit from the multipath fading nature of the wireless channel. Current research mostly focuses on channel modeling and measurement, and on the design of modulation and coding techniques that take into consideration the two-dimensional nature of STP (i.e. the space and time dimensions).

1.1 The Wireless Channel and the Concept of Diversity

The key characteristics of the mobile radio channel in contrast to the Gaussian channel are small-scale fading and multipath propagation. Small-scale fading, which is usually simply called fading, refers to the rapid fluctuation of signal strength over a short travel distance or period of time. Fading is primarily caused by multipath propagation of the transmitted signal, which creates replicas of the transmitted signal that arrive at the receiver with different delays. These versions of the transmitted signal combine either constructively or destructively at the receiver resulting in fluctuations in the amplitude and phase of the resultant signal. Other factors that have an influence on the small-scale fading include velocity of the mobile station, speed of the surrounding objects and the transmission bandwidth of the signal. During severe fading, the transmitted signal cannot be determined by the receiver unless some less-attenuated version of it is available. This usually can be achieved by introducing some sort of diversity in the transmitted signal. The three most common diversity techniques are as follows.

Temporal diversity. An example of temporal diversity is channel coding with time interleaving. The receiver is provided with several versions of the transmitted signal as redundancy in the temporal domain.

Frequency diversity. This type of diversity is based on the phenomenon that the structure of multipath propagation depends on the frequency of the transmitted wave. Thus, redundancy in the frequency domain provides the receiver with several replicas of the transmitted signal that experience different fading at any particular time instant.

Antenna or space diversity. In order to create space diversity, several spatially separated or differentially polarized antennas are employed. This generates redundancy of the transmitted signal in the spatial domain, where each replica undergoes a different propagation path. In this context, diversity order refers to the number of decorrelated spatial branches available at the transmitter or receiver, where the probability of losing a signal decreases exponentially with increasing diversity order.

It is always desirable to employ all forms of diversity in order to combat the adverse effects of the wireless channel. However, it is sometimes impractical to employ a particular type of diversity in a specific situation. For example, temporal diversity is ineffective in slow fading channels especially for delay-sensitive applications. In addition, antenna diversity at the mobile unit induces design impracticality. The most common systems that employ different types of diversity techniques for the sake of improving the performance of wireless transmission/reception are STC and MIMO schemes. Next, a brief historical overview on STC and MIMO systems is presented summarizing the main contributions in this field.

1.2 Diversity and Multiplexing Trade-offs in Multi-functional MIMO Systems

1.2.1 Classification of MIMO Systems

Again, our objective in this light-hearted section is to provide a brief conceptual overview of the material discussed in significantly more detail in Parts I and III of the book. More specifically, we briefly consider the design alternatives of different MIMO schemes, while considering the attainable diversity gains, multiplexing gains and beamforming gains. Our easy-reading conceptual treatment in this section aims to avoid the rigor of mathematics, which is left for the detailed approach of the remaining chapters.

Here we would like to commence with a brief classification of different MIMO schemes, which are categorized as diversity techniques, multiplexing schemes, multiple access arrangements and beamforming techniques. We then introduce two multi-functional MIMO families. These multi-functional MIMOs are capable of combining the benefits of several MIMO schemes and hence they attain an improved performance in terms of both their BER and their throughput. The first multi-functional MIMO family represents the recently proposed Layered Steered Space-Time Codes (LSSTCs), which combine the triple benefits of Space-Time Block Codes (STBCs), Vertical Bell Labs Layered Space-Time...

Details zur Ausgabe

• Verlag: Wiley-IEEE Press
• Erscheinungsdatum: 2009
• Sprache: Englisch
• ISBN 10: 0470779659
• ISBN 13: 9780470779651
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 752
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland