DocumentCode
1521113
Title
Fairness-Driven Fast Resource Allocation for Interference-Free Heterogeneous Networks
Author
Calabuig, Daniel ; Monserrat, Jose F. ; Cardona, Narcís
Volume
16
Issue
7
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
1092
Lastpage
1095
Abstract
Resource allocation in heterogeneous wireless networks is a complex problem. This letter addresses this problem maximizing the sum of logarithms of received rates. From this function, and using the Karush-Kuhn-Tucker (KKT) conditions, this paper proposes an iterative algorithm for allocating resources, which is much faster than conventional techniques. This fast response can be used to optimize larger regions, getting closer to the performance of global and centralized algorithms.
Keywords
iterative methods; radio networks; radiofrequency interference; resource allocation; KKT condition; Karush-Kuhn-Tucker condition; complex problem; fairness-driven fast resource allocation; interference-free heterogeneous wireless network; iterative algorithm; received rate logarithm; sum maximization; Clustering algorithms; Femtocell networks; Interference; Optimization; Resource management; Throughput; Vectors; Heterogeneous networks; fairness; scheduling;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2012.051512.120720
Filename
6203469
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