Wireless communications are ubiquitous, covering all aspects of everyday life from simple voice communication to vital transmission of critical information in battle fields and healthcare complexes. This expansive use of wireless channels is an important tool for fast and efficient means of data transmission. It requires a careful study of the characteristics of the channel so that the communication can be maintained with high fidelity and reliability. In this context, the study of the signal transmission and deterioration in the signal quality and characteristics as they pass through these channels assumes great significance. In this book, the signal strengths in these channels are described using appropriate statistical models. Such modeling and study of the models present a challenge to the instructors, graduate students, and researchers who are in the forefront of developing techniques to improve signal quality and to enhance overall reliability of the communication link between the sender and the recipient. This book is an effort to address this challenge. It provides a thorough discussion of the models used to describe signal strength fluctuations. It also examines the diversity techniques which are developed to mitigate the effects of these fluctuations.


Orthogonal Frequency Division Multiplex Fading Channel Outage Probability Wireless Channel Maximal Ratio Combine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Gradshteyn, I. S., I. M. Ryzhik (2007). Table of Integrals, Series and Products. Oxford, Academic.Google Scholar
  2. Mathai, A. M. (1993). A Handbook of Generalized Special Functions for Statistical and Physical Sciences. Oxford University Press.Google Scholar

Further Readings

  1. Abramowitz, M., Segun, I. A., eds. (1972). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover.Google Scholar
  2. Evans, M., N. A. J. Hastings, et al. (2000). Statistical distributions. New York, John Wiley.Google Scholar
  3. Gagliardi, R. M. (1988). Introduction to Communications Engineering. New York, John Wiley.Google Scholar
  4. Goldsmith, A. (2005). Wireless Communications. New York, Cambridge University Press.Google Scholar
  5. Helstrom, C. W. (1968). Statistical theory of signal detection. Oxford, New York, Pergamon Press.Google Scholar
  6. Jakes, W. C. (1994). Microwave mobile communications. Piscataway, NJ, IEEE Press.Google Scholar
  7. Mathai, A. M. and H. J. Haubold (2008). Special functions for applied scientists. New York, Springer Science+Business Media.Google Scholar
  8. Middleton, D. (1996). An Introduction to Statistical Communications Theory. Piscataway, N.J, IEEE Press.Google Scholar
  9. Molisch, A. F. (2005). Wireless Communications. Chichester, U. K. John Wiley & Sons.Google Scholar
  10. Papoulis, A. and S. U. Pillai (2002). Probability, random variables, and stochastic processes. Boston, McGraw-Hill.Google Scholar
  11. Proakis, J. G. (2001). Digital communications. Boston, McGraw-Hill.Google Scholar
  12. Rohatgi, V. K. and A. K. M. E. Saleh (2001). An introduction to probability and statistics. New York, Wiley.Google Scholar
  13. Schwartz, M. (1980). Information transmission, modulation, and noise: a unified approach to communication systems. New York, McGraw-Hill.Google Scholar
  14. Schwartz, M. et al. (1996). Communication Systems and Techniques. Piscataway, NJ, IEEE Press.Google Scholar
  15. Simon, M. et al. (1995). Digital communication techniques: signal design and detection. Prentice Hall PTR.Google Scholar
  16. Simon, M. K. and M.-S. Alouini (2005). Digital communication over fading channels. Hoboken, N.J., Wiley-Interscience.Google Scholar
  17. Sklar, B. (2001). Digital communications: fundamentals and applications. Upper Saddle River, N.J., Prentice-Hall PTR.Google Scholar
  18. Steele, R. and L. Hanzó (1999). Mobile radio communications: second and third generation cellular and WATM systems. New York, John Wiley & Sons, Inc.Google Scholar
  19. Van Trees, H. L. (1968). Detection, Estimation, and Modulation Theory. Part I. New York: John Wiley and Sons.Google Scholar

Information on Software

  1. Maple (Waterloo, ON, Canada, N2V 1K8).
  2. Matlab (Natick, MA 01760–2098).
  3. Wolfram (100 Trade Center Drive, Champaign, IL 61820, USA).

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Electrical and Computer EngineeringDrexel UniversityPhiladelphiaUSA

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