Space-Time Wireless Channels

A practical, "first-principles" approach to space-time wireless channel design.

• A practical approach to space-time wireless channel design
• Integrates essential principles from communications, electromagnetics, and random process theory
• Includes detailed coverage of diversity, multipath applications, and antenna array design
• Contains extensive examples, illustrations, and problem sets

Next-generation broadband radio systems must deliver unprecedented performance and higher data rates, while coping with increased spectral congestion. To achieve these goals, engineers need an in-depth understanding of radio channels that fade in time, frequency, and space. In Space-Time Wireless Channels, leading researcher Gregory D. Durgin presents a pragmatic, first-principles approach that integrates crucial concepts and techniques from communications, electromagnetics, and random process theory.

Durgin focuses on comprehension and practicality, offering extensive examples, illustrations, and problem sets, while avoiding gratuitious mathematics and moving most derivations to end-of-chapter appendices. Coverage includes:

• Fundamentals of space, time, and frequency transmission and random process theory
• Electromagnetic description of space-time channels and the physics of small-scale fading
• First- and second-order statistics of fading channels
• Angle spectrum concepts and applications, including vector/scalar space and multipath shape factors
• Antenna diversity, temporal diversity, and bit error rates
• Multipath channels: separation, signaling, block codingdesign

Appendices list special functions, Fourier transform examples, and random process theory concepts, as well as all relevant mathematical symbols, conventions, and acronyms.

1. Introduction.
Perspectives in Propagation. The Case for Space. Trends in Wireless Communications. About This Book.
2. Signal Transmission.
Baseband Representation. Channel Coherence. Using the Complete Baseband Channel. Chapter Summary.
3 Random Fading Channels.
Channel Correlation. Power Spectral Density (PSD). Joint Statistics. Width of the PSD. Chapter Summary.
4. Physics Of Small-Scale Fading.
Plane Wave Representation. The Local Area. Wave Groupings for Multipath Components. The SLAC Model. Chapter Summary.
5. First-Order Channel Statistics.
Mean Received Power. Envelope Probability Density Functions. Closed-Form PDF Solutions. Two-Wave with Diffuse Power PDF. Chapter Summary. Envelope Characteristic Functions.
6. The Angle Spectrum.
Vector and Scalar Space. Angle Spectrum Concepts. Multipath Shape Factors. Illustrative Examples. Chapter Summary.
7. Second-Order Channel Statistics.
The Level-Crossing Problem. Envelope Unit Autocovariance. Classical Spatial Channel Models. Properties of Wideband Channels. Chapter Summary. Approximate Spatial Autocovariance. Classical Envelope Autocovariance. Rician Mean Approximation.
8. Diversity.
Diversity Concept. Combining Techniques. BER and Capacity. Chapter Summary.
9. Mimo Channels.
Conventional Multiple Antenna Systems. Separating Channels in Multipath. Practical MIMO Signaling. Space-Time Block Coding. Chapter Summary.
10. Array Design In Multipath.
Rules of Spatial Decorrelation. Modeling Double Spatial Dependencies. Example System. Peer-to-Peer Space-Time Measurements. Chapter Summary. Description of Measured Parameters.
Appendix A. Special Functions.
Singularity Functions. Sinc Function. Gamma Function. Bessel Functions. Complete Elliptic Integral Functions. Q-function.
Appendix B. Fourier Analysis.
Basic Fourier Transform Definitions. Time-Doppler Transforms. Frequency-Delay Transforms. Space-Wavenumber Transforms. Trigonometric Relationships.
Appendix C. Random Process Theory.
Definitions. Probability Density Functions. Functions of Random Variables.
Appendix D. Glossary.
Mathematical Symbols and Conventions. Acronym List.
Bibliography.
Index.