Joint Dynamic Resource Allocation for Coupled Heterogeneous Wireless Networks Based on Hopfield Neural Networks

Author

Calabuig, Daniel ; Monserrat, Jose F. ; Martín-sacristán, David ; Cardona, Narcís

Author_Institution

Inst. of Telecommun. & Multimedia Applic., Polytech. Univ. of Valencia (UPV), Valencia

fYear

2008

fDate

11-14 May 2008

Firstpage

2131

Lastpage

2135

Abstract

This paper proposes an algorithm to solve the problem of Joint Dynamic Resource Allocation in heterogeneous wireless networks. The algorithm is based on Hopfield Neural Networks to achieve fast and suboptimal solutions. The generic formulation is particularized and evaluated in an HSDPA and 802.11e WLAN coupled networks. Some illustrative simulations results are presented to evaluate the performance of the new algorithm as compared with other strategies. The obtained results confirm the validity of the proposal.

Keywords

Hopfield neural nets; radio networks; resource allocation; wireless LAN; 802.11e; Hopfield neural network; heterogeneous wireless network; joint dynamic resource allocation; local area network; wireless LAN coupled network; Bit rate; Hopfield neural networks; Multiaccess communication; Radio transmitters; Rats; Resource management; Telecommunication traffic; Throughput; Wireless LAN; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE

Conference_Location

Singapore

ISSN

1550-2252

Print_ISBN

978-1-4244-1644-8

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2008.477

Filename

4526033