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- W2890096629 abstract "Future communication systems employingmassive multiple input multiple output will not have the abilityto use channel state information at the mobile user terminals.Instead, it will be necessary for such devices to evaluate thedownlink signal to interference and noise ratio (SINR) withinterference both from the base station serving other userswithin the same cell and other base stations from adjacentcells. The SINR will act as an indicator of how well the precodershave been applied at the base station. The resultspresented in this paper from a 32 x 3 massive MIMO channelsounder measurement campaign at 2.4 GHz show how thereceived bit error rate and error vector magnitudes can beused to obtain a prediction of both the average anddynamically changing SINR." @default.
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- W2890096629 date "2018-01-01" @default.
- W2890096629 modified "2023-10-01" @default.
- W2890096629 title "Prediction of SINR using BER and EVM for Massive MIMO Applications" @default.
- W2890096629 doi "https://doi.org/10.1049/cp.2018.0749" @default.
- W2890096629 hasPublicationYear "2018" @default.
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