Title :
Fairness-Driven Fast Resource Allocation for Interference-Free Heterogeneous Networks
Author :
Calabuig, Daniel ; Monserrat, Jose F. ; Cardona, Narcís
fDate :
7/1/2012 12:00:00 AM
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2012.051512.120720
