Non-stationary spatial shadowing models for micro-cellular radio links
(2021)
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Non-stationaryspatialshadowingmodelsformicro-cellularradiolinks.pdf
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- Authors
- Supervisors
- Oestges, Claude
- Abstract
- Wireless channel information is required for multiple purposes including receiver detection, simulation of wireless communication systems and capacity analysis. The MIMO wireless channel tensor provides all the information required to model such a channel, by assuming it behaves as a linear system. Starting from such tensor, information about propagation features as specular interacting objects could be extracted and used as input for models of the channel. This thesis models the shadowing signal, extracted from the MIMO channel tensor, and accounting for losses in distance due to obstacles. A linear model for the shadowing is proposed, whose components are: features associated with identified clusters of propagation paths; and explanatory variables associated with an underlying field accounting for density of losses in space. A space non-stationary correlation model for the shadowing is proposed, whose purpose is to identify space locations of high correlation, that might be used as prior information, for example, for adaptative power control. The proposed model directly relates the shadowing signal, traditionally assumed to be caused by obstacle losses, with propagation characteristics as the angles of arrival and departure, in micro-cell outdoor scenarios.
- Affiliations
Citations
Villegas Gutierrez, J. D. (2021). Non-stationary spatial shadowing models for micro-cellular radio links. https://hdl.handle.net/2078.5/108677