NDLI: Network utility maximisation: A DC programming approach for Sigmoidal utility function

Content Provider	IEEE Xplore Digital Library
Author	Le Thi Hoai An Pham Dinh Tao
Copyright Year	2013
Description	Author affiliation: Lab. of Theor. & Appl. Comput. Sci., Lorraine Univ., Vandoeuvre lès Nancy, France (Le Thi Hoai An) \|\| Lab. of Math., Nat. Inst. for Appl. Sci., Rouen, France (Pham Dinh Tao)
Abstract	Network Utility Maximisation for nonconcave utility functions is a challenging problem in Communication Systems. We propose an innovative approach in nonconvex programming framework for the Network Sigmoidal Utility Maximisation which has many applications, in particular in Multimedia and Internet congestion control. Our method is based on DC (Difference of Convex functions) programming and DCA (DC Algorithms) which have been successfully applied to many large-scale (smooth or nonsmooth) nonconvex programs in various areas. A simple DC formulation is proposed that leads to a fast and scalable DCA based algorithm. A distributed version of DCA is developed and some numerical examples are considered. Our algorithm given a global optimal solution in all cases.
Starting Page	50
Ending Page	54
File Size	121830
Page Count	5
File Format	PDF
ISBN	9781479910861
ISSN	21621020
e-ISBN	9781479910892
DOI	10.1109/ATC.2013.6698075
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-16
Publisher Place	Vietnam
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sigmoidal utility function Nonconvex optimization DCA Programming DC programming Vectors Optimization Convergence Internet congestion control Network topology Network utility maximization Convex functions Internet
Content Type	Text
Resource Type	Article

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