A Spatially Consistent MIMO Channel Model With Adjustable K Factor
In the area of research on massive multiple-input multiple-output (MIMO), two assumptions on the wireless channel dominate channel modeling. Either, a rich scattering environment is assumed and the channel is modeled as i.i.d. Rayleigh fading, or, a line of sight (LOS) channel is assumed, enabling g...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8794637/ |
| _version_ | 1819047884517015552 |
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| author | Stefan Pratschner Thomas Blazek Erich Zochmann Fjolla Ademaj Sebastian Caban Stefan Schwarz Markus Rupp |
| author_facet | Stefan Pratschner Thomas Blazek Erich Zochmann Fjolla Ademaj Sebastian Caban Stefan Schwarz Markus Rupp |
| author_sort | Stefan Pratschner |
| collection | DOAJ |
| description | In the area of research on massive multiple-input multiple-output (MIMO), two assumptions on the wireless channel dominate channel modeling. Either, a rich scattering environment is assumed and the channel is modeled as i.i.d. Rayleigh fading, or, a line of sight (LOS) channel is assumed, enabling geometric channel modeling under a farfield assumption. However, either of these assumptions represents an extreme case that is unlikely to be observed in practice. While there is a variety of MIMO channel models in literature, most of them, and even very popular geometry based stochastic channel models, are not spatially consistent. This is especially problematic for technologies in which channel correlation of adjacent users is an important factor, such as massive MIMO. In this work, we introduce a simple but spatially consistent MIMO channel model based on multiple scattering theory. Our proposed channel model allows to adjust the Rician K factor by controlling the number and strength of scattering elements. This allows to perform spatially consistent simulations of wireless communications systems for a large range of scattering environments in between an i.i.d. Rayleigh fading assumption and pure LOS channels. A statistical analysis in terms of the Rician K factor for the introduced model is provided and verified by simulations. By comparison to other channel models, we show that non spatially consistent channel models lead to an underestimation of inter-user correlation and therefore to an overestimation of achievable sum rate. |
| first_indexed | 2024-12-21T11:07:27Z |
| format | Article |
| id | doaj.art-a0a133643f3a4f138032da19857f3672 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T11:07:27Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a0a133643f3a4f138032da19857f36722022-12-21T19:06:11ZengIEEEIEEE Access2169-35362019-01-01711017411018610.1109/ACCESS.2019.29346358794637A Spatially Consistent MIMO Channel Model With Adjustable K FactorStefan Pratschner0https://orcid.org/0000-0003-2169-6628Thomas Blazek1Erich Zochmann2https://orcid.org/0000-0001-6368-7688Fjolla Ademaj3https://orcid.org/0000-0002-3710-7026Sebastian Caban4Stefan Schwarz5Markus Rupp6Christian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion, TU Wien, Vienna, AustriaInstitute of Telecommunications, TU Wien, Vienna, AustriaChristian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion, TU Wien, Vienna, AustriaChristian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion, TU Wien, Vienna, AustriaInstitute of Telecommunications, TU Wien, Vienna, AustriaChristian Doppler Laboratory for Dependable Wireless Connectivity for the Society in Motion, TU Wien, Vienna, AustriaInstitute of Telecommunications, TU Wien, Vienna, AustriaIn the area of research on massive multiple-input multiple-output (MIMO), two assumptions on the wireless channel dominate channel modeling. Either, a rich scattering environment is assumed and the channel is modeled as i.i.d. Rayleigh fading, or, a line of sight (LOS) channel is assumed, enabling geometric channel modeling under a farfield assumption. However, either of these assumptions represents an extreme case that is unlikely to be observed in practice. While there is a variety of MIMO channel models in literature, most of them, and even very popular geometry based stochastic channel models, are not spatially consistent. This is especially problematic for technologies in which channel correlation of adjacent users is an important factor, such as massive MIMO. In this work, we introduce a simple but spatially consistent MIMO channel model based on multiple scattering theory. Our proposed channel model allows to adjust the Rician K factor by controlling the number and strength of scattering elements. This allows to perform spatially consistent simulations of wireless communications systems for a large range of scattering environments in between an i.i.d. Rayleigh fading assumption and pure LOS channels. A statistical analysis in terms of the Rician K factor for the introduced model is provided and verified by simulations. By comparison to other channel models, we show that non spatially consistent channel models lead to an underestimation of inter-user correlation and therefore to an overestimation of achievable sum rate.https://ieeexplore.ieee.org/document/8794637/Channel modelsMIMO communicationsmassive MIMO |
| spellingShingle | Stefan Pratschner Thomas Blazek Erich Zochmann Fjolla Ademaj Sebastian Caban Stefan Schwarz Markus Rupp A Spatially Consistent MIMO Channel Model With Adjustable K Factor IEEE Access Channel models MIMO communications massive MIMO |
| title | A Spatially Consistent MIMO Channel Model With Adjustable K Factor |
| title_full | A Spatially Consistent MIMO Channel Model With Adjustable K Factor |
| title_fullStr | A Spatially Consistent MIMO Channel Model With Adjustable K Factor |
| title_full_unstemmed | A Spatially Consistent MIMO Channel Model With Adjustable K Factor |
| title_short | A Spatially Consistent MIMO Channel Model With Adjustable K Factor |
| title_sort | spatially consistent mimo channel model with adjustable k factor |
| topic | Channel models MIMO communications massive MIMO |
| url | https://ieeexplore.ieee.org/document/8794637/ |
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