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

Author

Gómez-Barquero, David ; Calabuig, Daniel ; Monserrat, José ; García, Nuria ; Pérez-Romero, Jordi

Author_Institution

Mobile Commun. Group, Polytech. Univ. of Valencia, Valencia

fYear

2006

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

Hopfield neural nets; packet radio networks; radio access networks; resource allocation; telecommunication computing; Hopfield neural network; delay constraints; heterogeneous wireless networks; joint dynamic resource allocation; optimal bit rate; packet-switched services; radio access technology allocation; 3G mobile communication; Bandwidth; Bit rate; Delay; Hopfield neural networks; Mobile communication; Quality of service; Rats; Resource management; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0062-7

Electronic_ISBN

1-4244-0063-5

Type

conf

DOI

10.1109/VTCF.2006.261

Filename

4109526