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Prediction of SINR using BER and EVM for Massive MIMO Applications

Brown, Tim, Humphreys, D, Hudlicka, M and Loh, T (2018) Prediction of SINR using BER and EVM for Massive MIMO Applications In: 12th European Conference on Antennas and Propagation, 9 - 3 April 2018, London, UK.

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Abstract

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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Brown, TimT.Brown@surrey.ac.uk
Humphreys, D
Hudlicka, M
Loh, T
Date : 2018
Copyright Disclaimer : © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : SINR, EVM, BER, Interference Characterisation, Massive MIMO.
Depositing User : Melanie Hughes
Date Deposited : 04 May 2018 09:34
Last Modified : 16 Jan 2019 19:09
URI: http://epubs.surrey.ac.uk/id/eprint/846356

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