Neural networks based physical cell identity: assignment for self organized 3gpp long term evolution
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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
This paper proposes neural networks based graph
coloring technique to assign Physical Cell Identities throughout
the self organized 3GPP Long Term Evolution Networks. PCIs
are allocated such that no two cells in the vicinity of each other
or with a common neighbor get the same identity. Efficiency of
proposed methodology resides in the fact that minimum number
of identities is utilized in the network wise assignment.
Simulations are performed on a very large scale network, where
initially all the cells are without any PCIs assigned. Results of
simulations are demonstrated to analyze the performance of the
proposed technique
Description
Keywords
Physical Cell Identity, Neural Networks, Self Organized Networks, Long Term Evolution
Citation
Paper Presented at 35th International Conference on Telecommunication and Signal Processing, TSP, Prague, Czech Republic 3-4 July, 2012