Egalitarian fairness framework for joint rate and power optimization in wireless networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

2 Scopus Citations
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Author(s)

  • Liang Zheng
  • Chee Wei Tan

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)58-60
Journal / PublicationPerformance Evaluation Review
Volume42
Issue number2
Publication statusPublished - 4 Sep 2014

Conference

Title32nd International Symposium on Computer Performance, Modeling, Measurement, and Evaluation, IFIP WG 7.3 Performance 2014
PlaceItaly
CityTurin
Period7 - 9 October 2014

Abstract

How do we efficiently and fairly allocate the resource in a wireless network? We study a joint rate and power control optimization to achieve egalitarian fairness (max-min weighted fairness) in multiuser wireless networks. The key challenge to optimizing the fairness of maximizing the data rates for all the users is the nonconvexity and of the problem. We exploit the nonlinear Perron-Frobenius theory and nonnegative matrix theory to solve this nonconvex resource control problem. A fixed-point algorithm that resembles a nonlinear version of the Power Method in linear algebra and converges very fast to the optimal solution is also proposed.

Citation Format(s)

Egalitarian fairness framework for joint rate and power optimization in wireless networks. / Zheng, Liang; Tan, Chee Wei.

In: Performance Evaluation Review, Vol. 42, No. 2, 04.09.2014, p. 58-60.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal