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Robust interference identification for multi-RAT optimization in wireless cellular networks

 
: Pollakis, E.; Cavalcante, R.L.G.; Stanczak, S.; Penna, F.

:

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012 : Bellevue, Washington, USA, 16 - 19 October 2012
Piscataway: IEEE, 2012
ISBN: 978-1-4673-4447-0 (print)
ISBN: 978-1-4673-4446-3
ISBN: 978-1-4673-4448-7
S.284
International Symposium on Dynamic Spectrum Access Networks (DYSPAN) <2012, Bellevue/WA>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()

Abstract
The objective of this study is to devise novel cognitive interference identification techniques for UMTS and LTE networks. We apply machine learning techniques to reconstruct interference patterns using a priori system knowledge, limited user information and sparse pathloss and interference measurements. The obtained interference patterns are used to build a multi-RAT optimization procedure aiming at energy efficient operation.

: http://publica.fraunhofer.de/dokumente/N-252065.html