NDLI: On predicting large scale fading characteristics with the MR-FDPF method

Content Provider	IEEE Xplore Digital Library
Author	Meiling Luo Lebedev, N. Villemaud, G. de la Roche, G. Jie Zhang Gorce, J.
Copyright Year	2012
Description	Author affiliation: Ranplan Wireless Network Design Ltd. Suite 25, The Business Competitiveness Centre, Kimpton Road, LU2 0SX, Luton, United Kingdom (Meiling Luo; Lebedev, N.; Jie Zhang) \|\| Mindspeed Technologies, Sophia Antipolis, France (de la Roche, G.) \|\| CITI Laboratory, Université de Lyon, INRIA, INSA-Lyon, CITI, F-69621, Villeurbanne, France (Villemaud, G.; Gorce, J.)
Abstract	The MR-FDPF (Multi-Resolution Frequency Domain Partial Flow) method is proven to be a fast and efficient method to simulate radio wave propagation. It is a deterministic model which can provide an accurate radio coverage prediction. In reality, radio channels have the nature of randomness due to e.g. moving people or air flow. Thus they can not be rigorously simulated by a pure deterministic model. However, it is believed that some statistics can be extracted from deterministic models and these statistics can be very useful to describe radio channels in reality. In this paper, large scale fading statistical characteristics are extracted based on the MR-FDPF method. They are validated by comparison to both the theoretical result and measurement. The match also demonstrates that MR-FDPF is capable of simulating large scale fading.
Starting Page	2186
Ending Page	2190
File Size	288552
Page Count	5
File Format	PDF
ISBN	9781457709180
e-ISBN	9781457709203
e-ISBN	9781457709197
DOI	10.1109/EuCAP.2012.6206282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-26
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Atmospheric modeling Receivers Loss measurement Frequency measurement Channel models Shadow mapping
Content Type	Text
Resource Type	Article

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