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Hopfield Neural Network - Based Approach for Joint Dynamic Resource Allocation in Heterogeneous Wireless Networks

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5 Author(s)
Gomez-Barquero, D. ; Mobile Commun. Group, Polytech. Univ. of Valencia, Valencia ; Calabuig, D. ; Monserrat, J. ; Garcia, N.
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This paper presents a comprehensive approach to solve the problem of joint dynamic resource allocation (JDRA) in heterogeneous wireless networks using a Hopfield neural network (HNN). A generic formulation for packet services with delay constraints is proposed to decide the optimal bit rate and radio access technology (RAT) allocation. Some illustrative simulations results in a basic scenario are presented to evaluate performance of the proposed algorithm.

Published in:
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th

Date of Conference: 25-28 Sept. 2006

Page(s):
1 - 5
E-ISBN :
1-4244-0063-5
Print ISBN:
1-4244-0062-7
INSPEC Accession Number:
10265926
Conference Location :
Montreal, Que.
Digital Object Identifier :
10.1109/VTCF.2006.261
Product Type:
Conference Publications

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