Statistical evaluation of outdoor-to-indoor office MIMO measurements at 5.2 GHz
(2005) IEEE Vehicular Technology Conference (VTC2005-spring) 1. p.146-150- Abstract
- In this paper, we present a statistical evaluation of an outdoor-to-indoor multiple-input multiple-output (MIMO) measurement campaign performed at 5.2 GHz. 159 measurement locations in an office building are analyzed. Our analysis pays special attention to two key assumptions that are widely used in stochastic channel models. An assumption that is used in practically every channel model is that the channel can be represented as a sum of a line-of-sight (LOS) component plus a (possibly correlated) zero-mean complex Gaussian distribution. Our investigation shows that this model does NOT adequately represent our measurement data. Our analysis also highlights the difference between the LOS power factor and the Rician K-factor. We show that the... (More)
- In this paper, we present a statistical evaluation of an outdoor-to-indoor multiple-input multiple-output (MIMO) measurement campaign performed at 5.2 GHz. 159 measurement locations in an office building are analyzed. Our analysis pays special attention to two key assumptions that are widely used in stochastic channel models. An assumption that is used in practically every channel model is that the channel can be represented as a sum of a line-of-sight (LOS) component plus a (possibly correlated) zero-mean complex Gaussian distribution. Our investigation shows that this model does NOT adequately represent our measurement data. Our analysis also highlights the difference between the LOS power factor and the Rician K-factor. We show that the direction-of-arrival (DOA) spectrum depends noticeably on the direction-of-departure (DOD). Therefore, the popular Kronecker model is not applicable, and the more general Weichselberger model should be used (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/616032
- author
- Wyne, Shurjeel LU ; Molisch, Andreas LU ; Almers, Peter LU ; Eriksson, Gunnar LU ; Kåredal, Johan LU and Tufvesson, Fredrik LU
- organization
- publishing date
- 2005
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- DOA spectrum, direction of departure, office building, multiple-input multiple-output measurement campaign, DOD, stochastic channel models, outdoor-to-indoor office MIMO measurements, LOS power factor, statistical evaluation, line-of-sight component, direction-of-arrival spectrum, Rician K-factor, 5.2 GHz, Weichselberger model
- host publication
- 2005 IEEE 61st Vehicular Technology Conference
- volume
- 1
- pages
- 146 - 150
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE Vehicular Technology Conference (VTC2005-spring)
- conference location
- Stockholm, Sweden
- conference dates
- 2005-05-30 - 2005-06-01
- external identifiers
-
- wos:000232179300031
- scopus:26444576459
- ISBN
- 0-7803-8887-9
- DOI
- 10.1109/VETECS.2005.1543267
- language
- English
- LU publication?
- yes
- id
- 4f1fd772-7364-4915-96c4-e798e3832350 (old id 616032)
- date added to LUP
- 2016-04-04 10:53:09
- date last changed
- 2022-02-06 06:27:07
@inproceedings{4f1fd772-7364-4915-96c4-e798e3832350, abstract = {{In this paper, we present a statistical evaluation of an outdoor-to-indoor multiple-input multiple-output (MIMO) measurement campaign performed at 5.2 GHz. 159 measurement locations in an office building are analyzed. Our analysis pays special attention to two key assumptions that are widely used in stochastic channel models. An assumption that is used in practically every channel model is that the channel can be represented as a sum of a line-of-sight (LOS) component plus a (possibly correlated) zero-mean complex Gaussian distribution. Our investigation shows that this model does NOT adequately represent our measurement data. Our analysis also highlights the difference between the LOS power factor and the Rician K-factor. We show that the direction-of-arrival (DOA) spectrum depends noticeably on the direction-of-departure (DOD). Therefore, the popular Kronecker model is not applicable, and the more general Weichselberger model should be used}}, author = {{Wyne, Shurjeel and Molisch, Andreas and Almers, Peter and Eriksson, Gunnar and Kåredal, Johan and Tufvesson, Fredrik}}, booktitle = {{2005 IEEE 61st Vehicular Technology Conference}}, isbn = {{0-7803-8887-9}}, keywords = {{DOA spectrum; direction of departure; office building; multiple-input multiple-output measurement campaign; DOD; stochastic channel models; outdoor-to-indoor office MIMO measurements; LOS power factor; statistical evaluation; line-of-sight component; direction-of-arrival spectrum; Rician K-factor; 5.2 GHz; Weichselberger model}}, language = {{eng}}, pages = {{146--150}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Statistical evaluation of outdoor-to-indoor office MIMO measurements at 5.2 GHz}}, url = {{https://lup.lub.lu.se/search/files/5644159/1291555.pdf}}, doi = {{10.1109/VETECS.2005.1543267}}, volume = {{1}}, year = {{2005}}, }