A dynamic channel allocation technique based on Hopfield neural networks

Author

Re, Enrico D. ; Fantacci, Romano ; Ronga, Luca ; Giambene, Giovanni

Author_Institution

Firenze Univ., Italy

fYear

1994

fDate

27 Sep-1 Oct 1994

Firstpage

531

Lastpage

535

Abstract

The interest in global spectrum allocation techniques is growing with the always increasing spectrum demand for mobile communications. This paper deals with a dynamic channel allocation (DCA) technique based on an energy function whose minimization can be performed by a Hopfield neural network. The performance of the proposed DCA technique is derived by computer simulations. Comparisons with a classical FCA technique and a previously proposed DCA technique are given to highlight the better performance of our DCA technique

Keywords

Hopfield neural nets; cellular radio; frequency allocation; land mobile radio; minimisation; radio spectrum management; DCA; FCA; Hopfield neural networks; cellular radio system; combinatorial optimisation; computer simulations; dynamic channel allocation; energy function minimization; global spectrum allocation; mobile communications; performance; Base stations; Channel allocation; Computer simulation; Frequency conversion; Hopfield neural networks; Interference; Land mobile radio cellular systems; Mobile communication; Multiaccess communication; Time division multiple access;

fLanguage

English

Publisher

ieee

Conference_Titel

Universal Personal Communications, 1994. Record., 1994 Third Annual International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-1823-4

Type

conf

DOI

10.1109/ICUPC.1994.383103

Filename

383103