Multi-link MIMO channel modeling using geometry-based approach
(2012) In IEEE Transactions on Antennas and Propagation 60(2). p.587-596- Abstract
- Geometry-based stochastic channel models (GSCMs) are extended to support multi-link simulations by applying the concept of common clusters. This novel approach aims to control the correlation between different links, inter-link correlation, by adjusting the amount of power simultaneously propagating via the same clusters in the different links. The behavior of common clusters is analyzed based on dual-link channel measurements, and a multi-link GSCM is developed based on common clusters. In addition, the effects that the common clusters have on inter-link correlation and on sum rate capacity are investigated based on simulations. Finally, comparison between simulations and measurements is done in order to indicate the validity of the... (More)
- Geometry-based stochastic channel models (GSCMs) are extended to support multi-link simulations by applying the concept of common clusters. This novel approach aims to control the correlation between different links, inter-link correlation, by adjusting the amount of power simultaneously propagating via the same clusters in the different links. The behavior of common clusters is analyzed based on dual-link channel measurements, and a multi-link GSCM is developed based on common clusters. In addition, the effects that the common clusters have on inter-link correlation and on sum rate capacity are investigated based on simulations. Finally, comparison between simulations and measurements is done in order to indicate the validity of the proposed multi-link GSCM. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2218313
- author
- Poutanen, Juho ; Tufvesson, Fredrik LU ; Haneda, Katsuyuki ; Kolmonen, Veli-Matti and Vainikainen, Pertti
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Radio channel modeling, geometry-based channel modeling, multi-link channel modeling, multi user MIMO
- in
- IEEE Transactions on Antennas and Propagation
- volume
- 60
- issue
- 2
- pages
- 587 - 596
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000302655100016
- scopus:84856987244
- ISSN
- 0018-926X
- DOI
- 10.1109/TAP.2011.2122296
- language
- English
- LU publication?
- yes
- id
- a75abf25-5f34-4a1f-af39-fa7092ed02a9 (old id 2218313)
- date added to LUP
- 2016-04-01 13:27:35
- date last changed
- 2022-03-21 18:40:41
@article{a75abf25-5f34-4a1f-af39-fa7092ed02a9, abstract = {{Geometry-based stochastic channel models (GSCMs) are extended to support multi-link simulations by applying the concept of common clusters. This novel approach aims to control the correlation between different links, inter-link correlation, by adjusting the amount of power simultaneously propagating via the same clusters in the different links. The behavior of common clusters is analyzed based on dual-link channel measurements, and a multi-link GSCM is developed based on common clusters. In addition, the effects that the common clusters have on inter-link correlation and on sum rate capacity are investigated based on simulations. Finally, comparison between simulations and measurements is done in order to indicate the validity of the proposed multi-link GSCM.}}, author = {{Poutanen, Juho and Tufvesson, Fredrik and Haneda, Katsuyuki and Kolmonen, Veli-Matti and Vainikainen, Pertti}}, issn = {{0018-926X}}, keywords = {{Radio channel modeling; geometry-based channel modeling; multi-link channel modeling; multi user MIMO}}, language = {{eng}}, number = {{2}}, pages = {{587--596}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Antennas and Propagation}}, title = {{Multi-link MIMO channel modeling using geometry-based approach}}, url = {{https://lup.lub.lu.se/search/files/3386390/2273350.pdf}}, doi = {{10.1109/TAP.2011.2122296}}, volume = {{60}}, year = {{2012}}, }