DocumentCode
2288205
Title
Hopfield neural networks for dynamic channel allocation in mobile communication systems
Author
Del Re, Enrico ; Fantacci, Romano ; Ronga, Luca ; Giambene, Giovanni
Author_Institution
Dept. of Electron. Eng., Florence Univ., Italy
Volume
3
fYear
1994
fDate
28 Nov- 2 Dec 1994
Firstpage
1664
Abstract
The increasing demand of new services in the field of radio-mobile communications is in contrast with the capacity constraints imposed by the present communications medias. For this reason the use of techniques capable of ensuring that the spectrum assigned to mobile communications will be better exploited, is gaining an ever increasing importance. The search for an effective channel allocation technique along with the attempt to lower the computational costs of the algorithm which performs such a technique, was the aim to be achieved in our research
Keywords
Hopfield neural nets; cellular radio; land mobile radio; radio spectrum management; telecommunication computing; capacity constraints; cellular radio; computational costs; dynamic channel allocation; hopfield neural networks; mobile communication systems; Channel allocation; Computational efficiency; Earth; Hopfield neural networks; Intelligent networks; Mobile communication; Performance analysis; Personal communication networks; Telecommunication network reliability; Underwater communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 1994. GLOBECOM '94. Communications: The Global Bridge., IEEE
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-1820-X
Type
conf
DOI
10.1109/GLOCOM.1994.513158
Filename
513158
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