Title
Design and implementation of a user-centric access point selection algorithm based on mutually connected neural networks
Abstract
We propose an autonomous access point selection algorithm for user-centric radio resource usage optimization in distributed wireless networks. We introduce the optimization algorithm based on the mutually connected neural network, which minimizes a given objective function by distributed update of each neuron. In order to improve the quality of services for each user, we apply such an algorithm to optimization of the balance of the available throughput among the users with keeping higher average throughput per user. The mutually connected neural network to minimize the objective function is realized by calculating the connection weights and the thresholds from the coefficients of the energy function and the target objective function. By computer simulations, we show that the proposed algorithm improves the available throughput for each user in large-scale wireless networks. Furthermore, we implement the proposed algorithm on an experimental wireless network, and verify that each user terminal selects a most appropriate access point to optimize the total radio resource usage based on the state of neurons distributively updated at each user terminal.
Year
DOI
Venue
2010
10.3233/IDT-2010-0090
Intelligent Decision Technologies
Keywords
Field
DocType
optimization algorithm,user terminal,energy function,available throughput,higher average throughput,neural network,experimental wireless network,target objective function,objective function,proposed algorithm,user-centric access point selection
Radio resource management,Wireless network,Computer science,Selection algorithm,Computer network,Combinatorial optimization,Optimization algorithm,Throughput,Artificial neural network,Distributed computing,User-centered design
Journal
Volume
Issue
ISSN
4
4
1872-4981
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Mikio Hasegawa129043.75
Taichi Takeda2141.95
Hiroshi Harada347677.46