Chiang, Mung and Low, Steven H. and Luo, Zhi-Quan and Shroff, Ness B. and Yu, Wei (2006) Guest Editorial: Nonlinear Optimization of Communication Systems. IEEE Journal on Selected Areas in Communications, 24 (8). pp. 1421-1425. ISSN 0733-8716 http://resolver.caltech.edu/CaltechAUTHORS:CHIieeejsac06
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Linear programming and other classical optimization techniques have found important applications in communication systems for many decades. Recently, there has been a surge in research activities that utilize the latest developments in nonlinear optimization to tackle a much wider scope of work in the analysis and design of communication systems. These activities involve every “layer” of the protocol stack and the principles of layered network architecture itself, and have made intellectual and practical impacts significantly beyond the established frameworks of optimization of communication systems in the early 1990s. These recent results are driven by new demands in the areas of communications and networking, as well as new tools emerging from optimization theory. Such tools include the powerful theories and highly efficient computational algorithms for nonlinear convex optimization, together with global solution methods and relaxation techniques for nonconvex optimization.
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|Deposited On:||05 Jun 2008|
|Last Modified:||26 Dec 2012 10:04|
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