DocumentCode
3371005
Title
Neural supported hand off methodology in micro cellular systems
Author
Munoz-Rodriguez, D. ; Moreno-Cadenas, J.A. ; Ruiz-Sanchez, M.C. ; Gomez-Castaneda, F.
Author_Institution
Dept. of Electr. Eng., Cinvestav, Mexico City, Mexico
fYear
1992
fDate
10-13 May 1992
Firstpage
431
Abstract
The application of artificial neural networks to hand-off algorithms in microcellular radio systems is discussed. It is shown that the neural network approach allows hands-offs for a large number of mobile subscribers to be handled in reduced time spans. Practical application and simulation results of the proposed formulation are discussed, and it is shown that the neural network methodology allows the implementation of suitable multicriteria hand-off algorithms that were infeasible with other approaches
Keywords
Hopfield neural nets; cellular radio; telecommunications computing; Hopfield-Tank neural net; artificial neural networks; hand-off algorithms; microcellular radio systems; Artificial neural networks; Biological system modeling; Biology computing; Computer networks; Infrared detectors; Neural networks; Neurons; Power engineering and energy; Radar detection; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 1992, IEEE 42nd
Conference_Location
Denver, CO
ISSN
1090-3038
Print_ISBN
0-7803-0673-2
Type
conf
DOI
10.1109/VETEC.1992.245361
Filename
245361
Link To Document