Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario
Abstract The performance of centralized and distributed massive MIMO deployments are studied for simulated indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state information (CSI) to the user equipments (UEs) that...
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Online Access: | https://doi.org/10.1186/s13638-019-1636-5 |
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doaj-359cd934879541f38b0dbfff15be098c2021-01-24T12:26:02ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-01-012020111210.1186/s13638-019-1636-5Information rates of precoding for massive MIMO and base station cooperation in an indoor scenarioStefan Dierks0Gerhard Kramer1Berthold Panzner2Wolfgang Zirwas3ROHDE & SCHWARZ GmbH & Co. KGChair for Communications Engineering, Technical University of MunichNokia NetworksNokia NetworksAbstract The performance of centralized and distributed massive MIMO deployments are studied for simulated indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state information (CSI) to the user equipments (UEs) that it serves, (2) large-scale MIMO with local CSI to all UEs in the network, (3) network MIMO with global CSI. For the distributed deployment (3), it is found that using twice as many base station antennas as data streams provides many of the massive MIMO benefits in terms of spectral efficiency and fairness. This is in contrast to the centralized and distributed deployments using (1) or (2) where more antennas are needed. Two main conclusions are that distributing base stations helps to overcome wall penetration loss; however, a backhaul is required to mitigate inter-cell interference. The effect of estimation errors on the performance is also quantified.https://doi.org/10.1186/s13638-019-1636-5Mobile radio communication5GIndoor communicationMassive MIMONetwork MIMOBase station cooperation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stefan Dierks Gerhard Kramer Berthold Panzner Wolfgang Zirwas |
spellingShingle |
Stefan Dierks Gerhard Kramer Berthold Panzner Wolfgang Zirwas Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario EURASIP Journal on Wireless Communications and Networking Mobile radio communication 5G Indoor communication Massive MIMO Network MIMO Base station cooperation |
author_facet |
Stefan Dierks Gerhard Kramer Berthold Panzner Wolfgang Zirwas |
author_sort |
Stefan Dierks |
title |
Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario |
title_short |
Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario |
title_full |
Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario |
title_fullStr |
Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario |
title_full_unstemmed |
Information rates of precoding for massive MIMO and base station cooperation in an indoor scenario |
title_sort |
information rates of precoding for massive mimo and base station cooperation in an indoor scenario |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1499 |
publishDate |
2020-01-01 |
description |
Abstract The performance of centralized and distributed massive MIMO deployments are studied for simulated indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state information (CSI) to the user equipments (UEs) that it serves, (2) large-scale MIMO with local CSI to all UEs in the network, (3) network MIMO with global CSI. For the distributed deployment (3), it is found that using twice as many base station antennas as data streams provides many of the massive MIMO benefits in terms of spectral efficiency and fairness. This is in contrast to the centralized and distributed deployments using (1) or (2) where more antennas are needed. Two main conclusions are that distributing base stations helps to overcome wall penetration loss; however, a backhaul is required to mitigate inter-cell interference. The effect of estimation errors on the performance is also quantified. |
topic |
Mobile radio communication 5G Indoor communication Massive MIMO Network MIMO Base station cooperation |
url |
https://doi.org/10.1186/s13638-019-1636-5 |
work_keys_str_mv |
AT stefandierks informationratesofprecodingformassivemimoandbasestationcooperationinanindoorscenario AT gerhardkramer informationratesofprecodingformassivemimoandbasestationcooperationinanindoorscenario AT bertholdpanzner informationratesofprecodingformassivemimoandbasestationcooperationinanindoorscenario AT wolfgangzirwas informationratesofprecodingformassivemimoandbasestationcooperationinanindoorscenario |
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1724325874397872128 |