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1 - Introduction

Published online by Cambridge University Press:  07 October 2011

Hong-Chuan Yang
Affiliation:
University of Victoria, Canada
Mohamed-Slim Alouini
Affiliation:
King Abdullah University of Science and Technology, Saudi Arabia
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Summary

The wireless communication industry has been and is still experiencing an exciting era of rapid development. New technologies and designs emerge on a regular basis. The timely adoption of these technologies in real-world systems relies heavily on the accurate prediction of their performance over general wireless fading channels and the associated system complexity. Theoretical performance and complexity analysis become invaluable in this process, because they can help circumvent the time-consuming computer simulation and expensive field test campaigns. These analytical results, usually in the form of elegant closed-form solutions, will also bring important insight into the dependence of the performance as well as complexity measures on system design parameters and, as such, facilitate the determination of the most suitable design choice in the face of practical implementation constraints.

Mathematical and statistical tools play a critical rule in the performance analysis of digital wireless communication systems over fading channels [1]. In fact, the proper utilization of these tools can help either simplify the existing results, which do not allow for efficient numerical evaluation, or render new analytical solutions that were previously deemed infeasible. One popular example is the application of moment generation function (MGF) in the performance analysis of digital communication system over fading channels [2]. With the unified MGF-based analytical framework, the error probability expressions, which usually involve an infinite integration of Gaussian Q-function, are simplified to a single integral of elementary functions with finite limits and, as such, facilitate convenient and accurate numerical evaluation.

Type
Chapter
Information
Order Statistics in Wireless Communications
Diversity, Adaptation, and Scheduling in MIMO and OFDM Systems
, pp. 1 - 6
Publisher: Cambridge University Press
Print publication year: 2011

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  • Introduction
  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book: Order Statistics in Wireless Communications
  • Online publication: 07 October 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139043328.003
Available formats
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To send content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox.

  • Introduction
  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book: Order Statistics in Wireless Communications
  • Online publication: 07 October 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139043328.003
Available formats
×

Send book to Google Drive

To send content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive.

  • Introduction
  • Hong-Chuan Yang, University of Victoria, Canada, Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia
  • Book: Order Statistics in Wireless Communications
  • Online publication: 07 October 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139043328.003
Available formats
×