DocumentCode
3055025
Title
Unsorting the Proportional Fairness Relation
Author
Köppen, Mario ; Yoshida, Kaori ; Tsuru, Masato
Author_Institution
Kyushu Inst. of Technol., Kitakyushu, Japan
fYear
2011
fDate
Nov. 30 2011-Dec. 2 2011
Firstpage
47
Lastpage
52
Abstract
Typical problems related to the application of proportional fairness are sparsity of the relation with increasing dimension, and the operator confusion problem. Here, we propose a new fairness relation derived from proportional fairness to handle these problems. The design principle behind this relation is relational unsorting: if there is a relation x(R)y between elements x and y from n-dimensional Euclidian space, the unsorted relation x(uR)y holds whenever there is a permutation x* of the elements of x for which x*(R)y holds. We apply this concept to proportional fairness, study the properties of the new relation, contrast with another relation based on over-sorting proportional fairness, and provide simulations to demonstrate the ease of ordered proportional fairness for meta-heuristic search.
Keywords
sparse matrices; telecommunication networks; telecommunication traffic; meta-heuristic search; n-dimensional Euclidian space; operator confusion problem; over-sorting proportional fairness; permutation; proportional fairness relation; relational unsorting; sparsity; Mirrors; Monte Carlo methods; Mutual information; Optimization; Search problems; Sorting; Vectors; fairness; ordered proportional fairness; preference modelling; proportional fairness;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4577-1908-0
Type
conf
DOI
10.1109/INCoS.2011.159
Filename
6132778
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