User-centric optimum radio access selection in heterogeneous wireless networks based on neural network dynamics

Mikio Hasegawa, Ha Nguyen Tran, Goh Miyamoto, Hiroshi Harada, Shuzo Kato, Yoshitoshi Murata

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

10 Citations (Scopus)

Abstract

We propose an autonomous and decentralized optimization method for heterogeneous wireless networks, in which a huge number of mobile terminals with multiple different air interfaces autonomously utilize the most appropriate infrastructure wireless networks, by sensing available wireless networks, selecting the most appropriate one, and reconfiguring themselves with seamless handover to the target networks. For optimum selection of radio resources, we introduce dynamics of the mutually connected neural network which converges to an optimal state since its property is to autonomously decrease its energy function. In this paper, we apply such neurodynamics to user-centric optimum radio access selection, which maximizes the total throughput of the entire networks, and minimizes the power consumption of the user terminal and the communication cost. We compose a neural network that solves such a problem, and we show that they can be optimized by distributed decisions based on autonomous and simple neuron updates on the terminal side.

Original languageEnglish
Title of host publicationWCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2747-2752
Number of pages6
ISBN (Print)9781424419968
DOIs
Publication statusPublished - 2008 Jan 1
EventIEEE Wireless Communications and Networking Conference, WCNC 2008 - Las Vegas, NV, United States
Duration: 2008 Mar 312008 Apr 3

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

OtherIEEE Wireless Communications and Networking Conference, WCNC 2008
CountryUnited States
CityLas Vegas, NV
Period08/3/3108/4/3

ASJC Scopus subject areas

  • Engineering(all)

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