Application of Higher Order Neural Network Dynamics to Distributed Radio Resource Usage Optimization of Cognitive Wireless Networks

Mikio Hasegawa, Taichi Takeda, Taro Kuroda, Ha Nguyen Tran, Goh Miyamoto, Yoshitoshi Murata, Hiroshi Harada, Shuuzou Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

We propose a distributed radio access network selection method for heterogeneous wireless network environment, in which mobile terminals can adaptively and seamlessly handover among different wireless access technologies. Our algorithm optimizes fairness of radio resource usage without centralized computing on the network side. As a decentralized optimization scheme, we introduce the dynamics of the mutually connected neural network dynamics, whose energy function autonomously minimizes by distributed update of each neuron. Since the objective function of the fairness becomes a fourth-order function of the neurons' states which cannot be optimized by the conventional Hopfield neural network, we apply a neural network model extended to higher-order mutual connections and energy functions. By numerical simulation, we confirm that the proposed algorithm can optimize fairness of the throughput by distributed and autonomous computation.

Original languageEnglish
Title of host publicationAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages851-858
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2009 Sep 21
Event15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand
Duration: 2008 Nov 252008 Nov 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Neuro-Information Processing, ICONIP 2008
Country/TerritoryNew Zealand
CityAuckland
Period08/11/2508/11/28

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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