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Non-parametric Modeling with Gaussian Processes for Spatial Radio-Scene Analysis

Elsner, Jens; Körner, Christian; Jondral, Friedrich


To increase area spectral efficiency, overlay use of spectrum already assigned to a primary system is considered in the context of cognitive radio research. Minimizing interference with the primary system is a key requirement and equivalent to the problem of transmission opportunity identification. Transmission opportunities are unused slots in the communication space which is spanned by time, frequency, and location. In this paper we describe a method to identify transmission opportunities by modeling the spatial power distribution with Gaussian processes. This approach to distributed sensing is verified with real-world measurements using the GSM downlink band as the primary system and contrasted with traditional wave propagation modeling approaches.

Zugehörige Institution(en) am KIT Communications Engineering Lab (CEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2008
Sprache Englisch
Identifikator ISBN: 978-1-424-41456-7
KITopen-ID: 1000036321
Erschienen in 5th IEEE Consumer Communications and Networking Conference (CCNC), 10-12 January 2008, Las Vegas, Nevada
Verlag IEEE Service Center
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