Spatial Separation of Closely-Spaced Users in Measured Distributed Massive MIMO Channels
Xu, Yingjie LU
; Sandra, Michiel
LU
; Cai, Xuesong
LU
; Willhammar, Sara
LU
and Tufvesson, Fredrik
LU
(2024)
IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024
p.381-385
- Abstract
- Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier frequency of 5.6 GHz with a bandwidth of 400 MHz, employing distributed antenna arrays with a total of 128 elements. Multiple scalar metrics are selected to evaluate spatial separability in line-of-sight, non line-of-sight, and mixed conditions. Firstly, through studying the singular value spread, it is shown that in line-of-sight conditions,... (More)
- Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier frequency of 5.6 GHz with a bandwidth of 400 MHz, employing distributed antenna arrays with a total of 128 elements. Multiple scalar metrics are selected to evaluate spatial separability in line-of-sight, non line-of-sight, and mixed conditions. Firstly, through studying the singular value spread, it is shown that in line-of-sight conditions, better user orthogonality is achieved with a distributed MIMO setup compared to a co-located MIMO array. Furthermore, the dirty-paper coding (DPC) capacity and zero forcing (ZF) precoding sum-rate capacities are investigated across varying numbers of antennas and their topologies. The results show that in all three conditions, the less complex ZF precoder can be applied in distributed massive MIMO systems while still achieving a large fraction of the DPC capacity. Additionally, in line-of-sight conditions, both sum-rate capacities and user fairness benefit from more antennas and a more distributed antenna topology. However, in the given NLoS condition, the improvement in spatial separability through distributed antenna topologies is limited. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5bf66dc0-fb86-49d8-9823-117f68048070
- author
- Xu, Yingjie
LU
; Sandra, Michiel
LU
; Cai, Xuesong
LU
; Willhammar, Sara
LU
and Tufvesson, Fredrik
LU
- organization
- publishing date
- 2024-10-07
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
- pages
- 381 - 385
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024
- conference location
- Lucca, Italy
- conference dates
- 2024-09-10 - 2024-09-13
- external identifiers
-
- scopus:85207081090
- ISBN
- 979-8-3503-9318-7
- DOI
- 10.1109/SPAWC60668.2024.10694595
- language
- English
- LU publication?
- yes
- id
- 5bf66dc0-fb86-49d8-9823-117f68048070
- date added to LUP
- 2024-11-25 09:44:57
- date last changed
- 2025-06-10 19:25:46
@inproceedings{5bf66dc0-fb86-49d8-9823-117f68048070,
abstract = {{Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier frequency of 5.6 GHz with a bandwidth of 400 MHz, employing distributed antenna arrays with a total of 128 elements. Multiple scalar metrics are selected to evaluate spatial separability in line-of-sight, non line-of-sight, and mixed conditions. Firstly, through studying the singular value spread, it is shown that in line-of-sight conditions, better user orthogonality is achieved with a distributed MIMO setup compared to a co-located MIMO array. Furthermore, the dirty-paper coding (DPC) capacity and zero forcing (ZF) precoding sum-rate capacities are investigated across varying numbers of antennas and their topologies. The results show that in all three conditions, the less complex ZF precoder can be applied in distributed massive MIMO systems while still achieving a large fraction of the DPC capacity. Additionally, in line-of-sight conditions, both sum-rate capacities and user fairness benefit from more antennas and a more distributed antenna topology. However, in the given NLoS condition, the improvement in spatial separability through distributed antenna topologies is limited.}},
author = {{Xu, Yingjie and Sandra, Michiel and Cai, Xuesong and Willhammar, Sara and Tufvesson, Fredrik}},
booktitle = {{2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)}},
isbn = {{979-8-3503-9318-7}},
language = {{eng}},
month = {{10}},
pages = {{381--385}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Spatial Separation of Closely-Spaced Users in Measured Distributed Massive MIMO Channels}},
url = {{https://lup.lub.lu.se/search/files/201273129/C_Spatial_Separation_DMIMO_vf_240723.pdf}},
doi = {{10.1109/SPAWC60668.2024.10694595}},
year = {{2024}},
}