DocumentCode
284289
Title
Frequency channel assignment using artificial neural networks
Author
Lochtie, G.D.
Author_Institution
British Telecom Res. Labs., Ipswich, UK
fYear
1993
fDate
1993
Firstpage
948
Abstract
When planning a cellular radio network, the operator must assign frequencies or channels to each radio base station so that the probability of a given carrier to interference ratio exceeding a predefined value is sufficiently high. If the electromagnetic propagation characteristics and the spatial density of the communication traffic are known, this assignment can be reduced to an optimisation problem which is subject to interference compatibility and traffic demand constraints. The work presented investigates the problem of determining the appropriate parameters within the neural network and thus assess the feasibility of using current neural network techniques to the channel assignment problem
Keywords
cellular radio; neural nets; radio networks; artificial neural networks; carrier to interference ratio; cellular radio network; communication traffic; electromagnetic propagation characteristics; frequency channel assignment; interference compatibility; optimisation problem; radio base station; spatial density; traffic demand constraints;
fLanguage
English
Publisher
iet
Conference_Titel
Antennas and Propagation, 1993., Eighth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-572-9
Type
conf
Filename
224765
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