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Communication Networks An Optimization, Control, and Stochastic Networks Perspective

Authors

R. Srikant , University of Illinois, Urbana-Champaign, Lei Ying , Arizona State University
Published 2013

Description

Provides a modern mathematical approach to the design of communication networks for graduate students, blending control, optimization, and stochastic network theories. A broad range of performance analysis tools are discussed, including important advanced topics that have been made accessible to students for the first time. Taking a top-down approach to network protocol design, the authors begin with the deterministic model and progress to more sophisticated models. Network algorithms and protocols are tied closely to the theory, illustrating the practical engineering…

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Key features

  • Takes a top-down approach to network protocol design
  • Emphasizes cross-layer issues
  • Discusses a broad range of performance analysis tools
  • Theoretical results are tied to real-world network applications

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