Wireless Communications Over Rapidly Time-Varying Channels

Franz Hlawatsch, Gerald Matz

• Publisher: Academic Press
• Year: 2011
• Print ISBN: 9780123744838
• eBook ISBN: 9780080922720
• Topic: Technology & Engineering
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

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

Chapter 1. Fundamentals of Time-Varying Communication Channels

Gerald Matz and Franz Hlawatsch

Vienna University of Technology, Vienna, Austria

Wireless communication systems, i.e., systems transmitting information via electromagnetic (radio) or acoustic (sound) waves, have become ubiquitous. In many of these systems, the transmitter or the receiver is mobile. Even if both link ends are static, scatterers – i.e., objects that reflect, scatter, or diffract the propagating waves – may move with significant velocities. These situations give rise to time variations of the wireless channel due to the Doppler effect. Nonideal local oscillators are another source of temporal channel variations, even in the case of wireline channels. Because of their practical relevance, linear time-varying (LTV) channels have attracted considerable interest in the fields of signal processing, communications, propagation, information theory, and mathematics. In their most general form, LTV channels are also referred to as time-frequency (TF) dispersive or doubly dispersive, as well as TF selective or doubly selective.

References

M. Abramowitz, I. Stegun, Handbook of mathematical functions. (1965) New York, NY.

P. Almers, E. Bonek, A. Burr, N. Czink, M. Debbah, V. Degli-Esposti, et al., Survey of channel and radio propagation models for wireless MIMO systems, EURASIP Journal on Wireless Communications and NetworkingVol. 2007 (2007); Article ID 19070.

H. Artés, G. Matz, F. Hlawatsch, Unbiased scattering function estimators for underspread channels and extension to data-driven operation, IEEE Transactions on Signal Processing52 (5) (2004) 1387–1402.

K.E. Baddour, N.C. Beaulieu, Autoregressive models for fading channel simulation, In: Proceedings of the IEEE GLOBECOM-2001San Antonio, TX. (2001, November), pp. 1187–1192.

R. Balan, H.V. Poor, S. Rickard, S. Verdu, Time-frequency and time-scale canonical representations of doubly spread channels, In: Proceedings of EUSIPCO–04Vienna, Austria. (2004, September), pp. 445–448.

Baum, D., & Bölcskei, H. (2009). Information-theoretic analysis of MIMO channel sounding. Submitted.

P.A. Bello, Characterization of randomly time-variant linear channels, IEEE Transactions on Communications System11 (1963) 360–393.

E. Biglieri, J. Proakis, S. Shamai (Shitz), Fading channels: Information-theoretic and communications aspects, IEEE Transactions on Information Theory44 (6) (1998) 2619–2692.

J.A.C. Bingham, Multicarrier modulation for data transmission: An idea whose time has come, IEEE Communications Magazine28 (5) (1990) 5–14.

In: (Editors: H. Bölcskei, D. Gesbert, C.B. Papadias, A.-J. van der Veen) Space-time wireless systems: From array processing to MIMO communications (2006) Cambridge University Press, New York, NY.

D.K. Borah, B.D. Hart, Frequency-selective fading channel estimation with a polynomial time-varying channel model, IEEE Transactions on Communications47 (1999) 862–873.

S.-K. Chow, A.N. Venetsanopoulos, Optimal on-off signaling over linear time-varying stochastic channels, IEEE Transactions on Information Theory20 (5) (1974) 602–609.

D. Cox, Delay Doppler characteristics of multipath propagation in a suburban mobile radio environment, IEEE Transactions on Antennas and Propagation20 (1972) 625–635.

P.J. Cullen, P.C. Fannin, A. Molina, Wide-band measurement and analysis techniques for the mobile radio channel, IEEE Transactions on Vehicu...

Table of contents

• Cover Image
• Table of Contents
• Front Matter
• Copyright
• Preface
• About the Editors
• Contributing Authors
• Notations and Symbols
• Abbreviations
• Chapter 1. Fundamentals of Time-Varying Communication Channels
• Chapter 2. Information Theory of Underspread WSSUS Channels
• Chapter 3. Algebraic Coding for Fast Fading Channels
• Chapter 4. Estimation of Time-Varying Channels – A Block Approach
• Chapter 5. Pilot Design and Optimization for Transmission over Time-Varying Channels
• Chapter 6. Equalization of Time-Varying Channels
• Chapter 7. OFDM Communications over Time-Varying Channels
• Chapter 8. Multiuser MIMO Receiver Processing for Time-Varying Channels
• Chapter 9. Time-Scale and Dispersive Processing for Wideband Time-Varying Channels
• Index