Orthogonal Frequency Division Multiplexing with Diversity for Future Wireless Systems


by

Khoa N. Le

DOI: 10.2174/97816080518851120101
eISBN: 978-1-60805-188-5, 2012
ISBN: 978-1-60805-546-3



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Indexed in: Scopus

The book examines several aspects of Orthogonal Frequency Division Multiplexing (OFDM) employing linear diversity techniques such as i...[view complete introduction]

Table of Contents

List of Figures

- Pp. i-x (10)

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List of Tables

- Pp. xi-xii (2)

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Foreword

- Pp. xiii-xiv (2)

Mohammad S. Obaidat

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Foreword — The OFDM Saga. . .

- Pp. xv-xix (5)

L. Hanzo

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Preface

- Pp. xx-xxii (3)

L. Hanzo

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Acknowledgements

- Pp. xxiii

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Contributing Authors

- Pp. xxiv-xxxix (16)

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The Effects of Spatial Diversity on the Synchronization of MIMO-OFDM Systems

- Pp. 1-44 (44)

Yi Zhou, Yik-Chung Wu, Erchin Serpedin and Kalid Qaraqe

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Timing and Iterative IBI and ICI Cancellation

- Pp. 45-86 (42)

Geoffrey Ye Li, Xia Wang, Hongjie Hu, Long Qin and Anthony C. K. Soong

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Space-Time-Frequency Pilot-Symbol Assisted Channel Estimation for MIMO-OFDM

- Pp. 87-131 (45)

Kar Lun (Clarence) Wong and Harry Leib

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Fast ML Decoding for OSTBC and QOSTBC Coded MIMO-OFDM Systems with Clipping

- Pp. 132-162 (31)

Zhefeng Li and Xiang-Gen Xia

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Fast ML Decoding for OSTBC and QOSTBC Coded MIMO-OFDM Systems with Clipping

- Pp. 163-218 (56)

Pei Xiao, Zihuai Lin and Jian Mao

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Performance of Linear Diversity with Multiple Antenna Techniques in OFDM Systems

- Pp. 219-277 (59)

Mugen Peng, Xiaoshi Song, Wenbo Wang, Jie Zhang and Hsiao-Hwa Chen

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Multiuser and Spatial Diversity in OFDM Systems with Co-channel Interference

- Pp. 278-302 (25)

Wan Choi

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Multiuser Diversity Gain in Orthogonal Frequency Division Multiplexing under Limited Channel Information Feedback

- Pp. 303-343 (41)

Seokhyun Yoon

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Multi-channel Communications with Adaptive Modulation, Power Loading, and Diversity Combining

- Pp. 344-394 (51)

Sang-Do Lee and Young-Chai Ko

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Gaussian and Hyperbolic Scattering Channels in Mobile OFDM Systems: A Preliminary Study

- Pp. 395-435 (41)

Khoa N. Le

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Mobile WiMAX MIMO Beamforming Algorithms and Simulations

- Pp. 436-489 (54)

ian Mao, Zihuai Lin and Pei Xiao

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Planning of OFDM/OFDMA Cellular Networks

- Pp. 490-537 (48)

Romeo Giuliano, Franco Mazzenga and Marco Vari

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Conclusions

- Pp. 538-539 (2)

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Appendix A (Impact of the starting time of integral)

- Pp. 540-543 (4)

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Appendix B (Correlation of IBI power)

- Pp. 544-545 (2)

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Appendix C (Timing for two-ray channels without decision feedback)

- Pp. 546-547 (2)

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Appendix D (Impact of starting and ending times for the wrapping window)

- Pp. 548-550 (3)

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Appendix E [Derivation of (8.28) and (8.30)]

- Pp. 551-552 (2)

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Appendix F [Some results on Ricean modelling in (8.37)]

- Pp. 553-555 (3)

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Appendix G (Antenna Correlation Derivation)

- Pp. 556-560 (5)

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Author Index

- Pp. 561

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Abbreviations

- Pp. 562-563 (2)

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Index

- Pp. 564-569 (6)

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Foreword

Orthogonal Frequency Division Multiplexing (OFDM) and Orthogonal Frequency Division Multiple Access (OFDMA) have attracted in recent years the attention of the worldwide wireless systems research community. OFDM and OFDMA have been considered as the future technologies for the IEEE 802.16 standard which show their effectiveness for communications systems.

OFDM is a frequency-division multiplexing (FDM) scheme employed as a digital multi-carrier modulation technique. A high number of closely-spaced orthogonal subcarriers are employed to hold data. The latter is separated into a number of parallel data streams; one per sub-carrier. Every subcarrier is modulated with a traditional modulation scheme at a small symbol rate, preserving the overall data rate similar to traditional single-carrier modulation schemes.

OFDMA is used in various applications including: the mobility mode of the IEEE 802.16, usually called WiMAX, the IEEE 802.20 mobile Wireless MAN standard, often called MBWA, and the Qualcomm/3GPP2 Ultra Mobile Broadband (UMB) project, among others. Furthermore, it is a candidate access method for the Wireless Regional Area Networks (WRAN).

This book studies OFDM and OFDMA employing receiver diversity systems from the fundamental perspective to application and advanced perspective. The main difference of this book from other published books is that it focuses on OFDM fundamental problems and proposes possible solutions using receiver diversity techniques. The Editor has carefully grouped the chapters so that their topics fall into the same area, starting with OFDM fundamentals, advanced OFDM, cellular OFDM and OFDMA.

The contributing authors are recognised as active worldwide researchers in the field of OFDM and OFDMA. I have no doubt that this book would be a useful addition to the current literature on OFDM and OFDMA which are fast growing fields with a lot of future applications. I would strongly recommend this book for researchers in the field of OFDM/OFDMA, wireless networking/communications, and as a reference for courses in OFDMA/OFDM and Wireless Communications/Networks.

Mohammad S. Obaidat
IEEE Fellow and SCS Fellow
Editor-in-Chief, International Journal of Communication Systems, Wiley
President, The Society for Modelling and Simulation International, SCS

Foreword—The OFDM Saga. . .

with the compliments of
with the compliments of
L. Hanzo
School of Electronics and Computer Science
University of Southampton, SO17 1BJ, UK
Tel: +44-23-8058 3125
Fax: +44-23-8058 4508
Email: lh@ecs.soton.ac.uk
www-mobile.ecs.soton.ac.uk

Since the conception of the Pan-European digital mobile radio system in the mid- 1980—which later was renamed as the Global System of Mobile (GSM) communications— a transmission rate increase of three orders of magnitude was achieved by the research community. This was facilitated by the impressive advances in signal processing designed for wireless communications, in information theory and in nano-electronics. The required investments in research and development were fueled by the increasing consumer demand for high-quality multimedia communications in the emerging wireless Internet era. However, the prompt delivery of large amounts of compressed multimedia information at high transmission rates and at an infinitesimally low error probability constitutes a challenge, because the deleterious wireless propagation effects impose grave degradations on the received signal. These hostile channel effects may only be mitigated by a combination of counter-measures, such as reduced cell-sizes—as exemplified by the recent introduction of femto-cells—and sophisticated signal processing techniques.

For example, whilst the GSM system’s data rate was a mere 9.6 kbit/s, the recent High Speed Packet Access (HSPA) mode of the Third-Generation (3G) system is capable of reaching a rate of 13.7 Mbit/s. Naturally, at a given multipath-induced maximum dispersion the commensurately reduced symbol durations of state-of-the-art systems imply that either order of magnitude longer channel equalizers have to be operated at orders of magnitude higher clock-rates or parallel processing techniques have to be invoked.

This parallel processing philosophy may be traced back to a 1957 contribution by Doelz, Heald and Martin on Binary Data Transmission Techniques for Linear Systems, which was published in the Proceedings of the IRE and heralded the 50-year research of OFDM. As widely exploited at the time of writing, high-speed data processing may be carried out by numerous parallel processes, leading to the appealing technique of using numerous low-rate subcarriers for conveying and processing reduced-rate parallel streams.

The resultant extended-duration parallel symbol of each OFDM carrier may then be deemed to be more or less unaffected by dispersion. Even if these extended-duration parallel OFDM symbols happen to be facing frequency-selective fading, the associated frequency-domain channel transfer function may be readily estimated and lowcomplexity single-tap multiplication-based frequency-domain equalization may be invoked, instead of high-complexity convolution-style time-domain equalization or Viterbiequalization- style maximum likelihood sequence estimation.

In the interest of further mitigating the effects of fading, this volume aims for combining the benefits of OFDM with diversity techniques employed both at the transmitter and at the receiver. Another benefit of OFDM is that it has an innate ability to support multiple users by assigning the subcarriers or groups of subcarriers to them on a flexible demand basis, leading to the appealing concept of OFDMA. The book also offers a chapter on the cellular planning of OFDM/OFDMA networks.

Since OFDM has found favour right across the entire portfolio of recent wireless communications standards, such as the IEEE 802.11a/g WLAN modem family, WiMax, DAB and DVB, as well as the Third-Generation Partnership Project’s Long-Term Evolution (3GPP-LTE) initiative, the book is both timely and topical.

Multiple-input multiple-output (MIMO) smart-antenna techniques are capable of further increasing the effective throughput of OFDM systems and/or improving their robustness against channel-induced fading effects. A tangible justification for the employment of MIMOs is that their capacity increases linearly with the smaller of the number of transmit and receive antennas. If for the sake of argument we assume having the same number of transmit and receive antennas and that we linearly increase the transmit power by gradually assigning the extra power to extra transmit antennas, then we could surmise that their throughput increases by and large linearly with the power. This is a far more power-efficient regime than the family of single-input single-output (SISO) systems, which have to obey the logarithmically increasing capacity rule of Shannon. We note however that when the bandwidth tends to infinity, the SISO capacity also increases linearly with the transmit power.

The family of MIMOs subsumes diverse techniques, but four dominant subclasses may be worth mentioning. The class of transmit-diversity based space time block coding (STBC) and space time trellis coding (STTC) schemes are designed for attaining the maximum diversity gain and hence mitigate the effects of fading, as detailed in the book. By contrast, beamforming aided MIMO-OFDM is capable of mitigating the multi-user interference imposed by other wireless users that roam in the vicinity of a desired user by creating angularly selective beams. These beamforming techniques are investigated in the context of the WIMAX system in the book. As a further advance in the field, the benefits of having access to the CIR about to be encountered during the next transmission burst are also examined by the authors under the realistic assumption of having a limited feedback channel.

The remaining MIMO categories aim for achieving a multiplexing gain and hence they are not explicitly addressed in this volume, which is dedicated to diversity assisted MIMO-OFDM. Nonetheless, briefly, in a typical up-link spatial division multiple access (SDMA) based MIMO-OFDM arrangement, each remote mobile user has a single transmitter antenna that communicates with a base station array of receiver antennas. All users can share the same bandwidth, and each can be separately identified because they are at different geographical locations and the spatial signature of each user—which is constituted by their sufficiently accurately estimated channel impulse responses—is unique. Finally, when the mobile stations are also equipped with multiple antennas, all the MIMO capacity may be allocated to a single user in the interest of increasing their throughput instead of supporting multiple users. The resultant arrangements are typically referred to as Spatial Division Multiplexing (SDM) schemes.

The price to pay for the above-mentioned MIMO-aided throughput and/or integrity benefits is that accurate estimates of each of the individual MIMO links complex-valued channel transfer function (CHTF) or CIR have to be derived at the receiver. Hence channel estimation 6 × 6 = 36 MIMO links, since 36 CHTF/CIR estimates have to be generated. Spatial-domain, time-domain and frequency-domain pilot symbol assisted channel estimation techniques are discussed in the book, touching upon the specific pilot placement and pilot power allocation issues. It is worth noting that the channel estimation related pilot overhead may become excessive, when employing a high number of antennas or catering for high Doppler frequencies. Hence new research should aim for conceiving non-coherently detected low-complexity solutions.

In the presence of time-selective and frequency-selective fading adaptive modulation and coding (AMC) techniques may be invoked as a further fading counter-measure. These techniques are also amalgamated with adaptive power allocation and diversity combining in the book, although it is worth noting that the employment one of these counter-measures is typically sufficient for mitigating the fading, so that the channel decoder effectively removes the residual errors. Naturally, these techniques also necessitate accurate channel quality estimation and feedback. AMC techniques matured over the past decade and they have found their way into numerous recent wireless standards, including the above-mentioned HSPA and LTE standards. However, their non-coherently detected low-complexity versions require further research.

Finally, the synchronization problems of MIMO-aided systems are also more grave, than those of their SISO counterparts, because the total transmit power has to be distributed across several antennas for the sake of fair comparisons. This power-sharing potentially results in a reduced-power, noise-contaminated per-antenna received signal during the most critical initial synchronization phase. Naturally, the required synchronization overhead is also dependent on the number of MIMO elements and on the Doppler frequency.

In conclusion, OFDM indeed has reached a state of maturity, but it also offers numerous further design challenges, many of which are addressed in the book with the motivation of further fueling research. Just to mention a few, blind and trained channel estimation as well as synchronization has further open problems, which may be solved with the aid of multi-stage iterative transceivers exchanging extrinsic information. When dispensing with channel estimation, AMC designed for low-complexity non-coherent transceivers deserve further attention. Similarly, non-coherent MIMO transceivers require further investigations. This becomes particularly important in the context of distributed MIMOs, which are constituted by a set of cooperating single-antenna-aided mobile stations. The main benefit of these cooperative solutions is that conventional co-located MIMO elements are often subjected to shadow fading, when all the MIMO channels will fade together. Hence the independent fading based diversity gain erodes. This shadowing-induced correlation may be readily circumvented with the aid of the geographically separated cooperating mobile stations, although again, at the cost of a factor two cooperation-related multiplexing loss.

An attractive design alternative is to avoid the employment of AMC—which requires channel quality estimation—with the aid of three-dimensional spreading across the time, frequency and spatial domain with the aid of three-dimensional (3D) MC-CDMA. Indeed, we might hypothesize that owing to its numerous benefits, 3D MC-CDMA might become the next-generation physical layer enabling technique—following the 2G TDMA, 3G CDMA and 4G OFDMA solutions!


Preface

This book was motivated by the fast emerging advantage of orthogonal frequency division multiplexing (OFDM) and the attention it has received in recent years. The need for high-speed networks initiates new research directions on multi-carrier modulation techniques which will be employed in future wireless communications systems. OFDM was invented in the 60’s via the work of Cimini and others. While at the time the idea was new and innovative, it was not fully utilised till now. The scenario is similar to the advancement of digital signal processing. Thinking back to the 90’s when The Internet was thought to be a distant technology and “brick-size” analog mobile phones were the fashion of the day! Back in those days, maybe we all thought that OFDM was not possible because of its complexity and there was no market for it. However, after nearly four decades of thinking and rethinking, people started realising that OFDM could be and really can be the prime candidate for the next generation of wireless communications networks. Recently, extensive research has been performed to explore and reveal new insight into OFDM. Not only that, new ideas and new research directions have been introduced and initiated. A quick search in the INSPECT database can reveal some interesting facts. From 1990 to 2010, the number of OFDM journal papers is 4, 522, comparing with 2, 888 from 2005 to 2010, and 501 for the year to date. This means that the number in the last five years is about 2.5 times that from 1990 to 2010 which shows the research intensity around the world on OFDM and hence its importance and relevance to our lives.

OFDM is a multi-carrier modulation technique in which inter relationships among the sub-carriers significantly affects system performance. Orthogonality among the subcarriers is the key to avoid performance degradation. In other words, inter-carrier interference is a major factor that should be considered when analysing OFDM system performance. Inter-carrier interference is therefore one of the draw backs of OFDM systems. Not only that, this interference also creates complicated scenarios and thus it is much more difficult to estimate bit error rates of OFDM systems than those of single-carrier systems.

Diversity is a technique that is mainly employed for receivers to combat fading, hence improving signal detection, and ultimately reducing bit error rates in communications systems. While bettering system performance, the only draw back of diversity is the redundancy of sending replicas of signals or data symbols over time, creating wasted overhead. Because of the randomness of fading transmission channels, diversity has been shown to be an effective technique combating fading.

Combining OFDM and diversity to improve system performance has been thought of for sometime by researchers around the world. Because of inter-carrier interference, implementing diversity on OFDM systems more than one-fold super-imposing system complexity and may make these types of communications systems unpractical. However, the human race has always been optimistic and we all hope that the scenario of the 90sbrick- size-mobile-phone example repeats itself. As the result of the marriage of OFDM and diversity, complicated mathematics along with encouraging results have been born. Concurrently, multiple input multiple output (MIMO) OFDM has also been extremely popular lately because of the need for high speed data rates and network expansion. In a way, the MIMO-OFDM concept is a diversity per se and is also treated in this book.

To add to the healthy literature on OFDM and diversity in recent years, this book hopes to contribute some efforts via a collection of fine papers written in the field of OFDM and wireless communications. The book has a variety of chapters dealing with (i) OFDM and MIMO-OFDM technical challenges, (ii) overview on recent work, and (iii) diversity and hybrid diversity techniques. Orthogonal frequency division multiple access (OFDMA) is also studied in Chapters 8, 11 and 12. The book is organised as follows:

Chapter 1 studies the effects of spatial diversity on synchronisation of multiple input multiple output OFDM systems, in particular, the effects of timing. Receiver diversity is also assessed.

Chapter 2 gives fundamental insight into inter-carrier interference (ICI) and interblock interference (IBI). ICI and IBI cancellation methods are proposed and validated.

These results can be further developed to reduce bit error rates of OFDM and OFDMA systems.

Chapter 3 gives channel estimation techniques using specially-designed pilot sequences. The least squares estimation method is employed. Simulated bit error rates are presented.

Chapter 4 gives a detailed study on coded OFDM systems with clipping. In-depth theoretical analyses are rendered.

Chapter 5 is devoted to the study the effectiveness of transmit diversity for MIMOOFDM systems. Practical and theoretical analyses are given.

Chapter 6 gives a thorough overview on various OFDM systems. New results on applying diversity to OFDM systems are given.

Chapter 7 examines the effects of multi-user and spatial diversity on co-channel interference in OFDM systems.

Chapter 8 examines the effectiveness of multi-user diversity on OFDM systems with limited feedback. Simulation results are given.

Chapter 9 is a collection of different adaptive modulation techniques which have been employed in the literature from conventional modulation to hybrid conventional modulation utilising diversity and power loading.

Chapter 10 gives a preliminary study on hyperbolic and Gaussian scattering channels in mobile OFDM systems in a fading environment. Theoretical and simulation results are given.

Chapter 11 proposes beamforming algorithms for mobile WiMAX MIMO OFDM systems. Detailed simulation results are given.

Chapter 12 gives a generic overview on the planning of OFDM and OFDMA cellular systems. Effects of cell radius and number of sub-carriers on system performance are studied.

Chapter 13 concludes the book and briefly gives some thought on future developments of OFDM.

Further derivations are given in Appendices A to G for Chapters 2, 8 and 11.

L. Hanzo
School of ECS
University of Southampton
UK

List of Contributors

Editor(s):
Khoa N. Le
University of Western Sydney
Australia




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