Massive MIMO Extensions to the COST 2100 Channel Model : Modeling and Validation
(2020) In IEEE Transactions on Wireless Communications 19(1). p.380-394- Abstract
To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with mean proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual... (More)
To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with mean proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual MPCs at the mobile station side. We find that both MPC lifetimes and MPC-VR radii are lognormally distributed. Simulations suggest that unless MPC-VRs are applied the channel condition number is overestimated. Key statistical properties of the proposed extensions, e.g., autocorrelation functions, maximum likelihood estimators, and Cramer-Rao bounds, are derived and analyzed.
(Less)
- author
- Flordelis, Jose LU ; Li, Xuhong LU ; Edfors, Ove LU and Tufvesson, Fredrik LU
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- birth-death process, channel measurements, channel model, closely-located users, large arrays, Massive MIMO, non-stationarity
- in
- IEEE Transactions on Wireless Communications
- volume
- 19
- issue
- 1
- article number
- 8866736
- pages
- 15 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85078349556
- ISSN
- 1536-1276
- DOI
- 10.1109/TWC.2019.2945531
- language
- English
- LU publication?
- yes
- id
- bb4a3c04-33e9-464f-a68e-ed90e5b9b4c4
- date added to LUP
- 2020-02-10 12:01:11
- date last changed
- 2024-04-03 01:28:44
@article{bb4a3c04-33e9-464f-a68e-ed90e5b9b4c4, abstract = {{<p>To enable realistic studies of massive multiple-input multiple-output systems, the COST 2100 channel model is extended based on measurements. First, the concept of a base station-side visibility region (BS-VR) is proposed to model the appearance and disappearance of clusters when using a physically-large array. We find that BS-VR lifetimes are exponentially distributed, and that the number of BS-VRs is Poisson distributed with mean proportional to the sum of the array length and the mean lifetime. Simulations suggest that under certain conditions longer lifetimes can help decorrelating closely-located users. Second, the concept of a multipath component visibility region (MPC-VR) is proposed to model birth-death processes of individual MPCs at the mobile station side. We find that both MPC lifetimes and MPC-VR radii are lognormally distributed. Simulations suggest that unless MPC-VRs are applied the channel condition number is overestimated. Key statistical properties of the proposed extensions, e.g., autocorrelation functions, maximum likelihood estimators, and Cramer-Rao bounds, are derived and analyzed.</p>}}, author = {{Flordelis, Jose and Li, Xuhong and Edfors, Ove and Tufvesson, Fredrik}}, issn = {{1536-1276}}, keywords = {{birth-death process; channel measurements; channel model; closely-located users; large arrays; Massive MIMO; non-stationarity}}, language = {{eng}}, number = {{1}}, pages = {{380--394}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Wireless Communications}}, title = {{Massive MIMO Extensions to the COST 2100 Channel Model : Modeling and Validation}}, url = {{http://dx.doi.org/10.1109/TWC.2019.2945531}}, doi = {{10.1109/TWC.2019.2945531}}, volume = {{19}}, year = {{2020}}, }