DocumentCode :
3506827
Title :
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
Link To Document :
بازگشت