Prediction of SINR using BER and EVM for Massive MIMO Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00177016%3A_____%2F18%3AN0000084" target="_blank" >RIV/00177016:_____/18:N0000084 - isvavai.cz</a>
Result on the web
<a href="https://arxiv.org/abs/1809.07811" target="_blank" >https://arxiv.org/abs/1809.07811</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/cp.2018.0749" target="_blank" >10.1049/cp.2018.0749</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of SINR using BER and EVM for Massive MIMO Applications
Original language description
Future communication systems employing massive multiple input multiple output will not have the ability to use channel state information at the mobile user terminals. Instead, it will be necessary for such devices to evaluate the downlink signal to interference and noise ratio (SINR) with interference both from the base station serving other users within the same cell and other base stations from adjacent cells. The SINR will act as an indicator of how well the precoders have been applied at the base station. The results presented in this paper from a 32 x 3 massive MIMO channel sounder measurement campaign at 2.4 GHz show how the received bit error rate and error vector magnitudes can be used to obtain a prediction of both the average and dynamically changing SINR.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/8B15007" target="_blank" >8B15007: Metrology for 5G Communications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
12th European Conference on Antennas and Propagation (EuCAP 2018)
ISBN
978-1-78561-816-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
IET
Place of publication
London, UK
Event location
London, UK
Event date
Apr 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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