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A Low-Complexity Structure for Multi-user Massive MIMO with Binary Arrary-Receiver Based on Constructive Noise

Liu, Lifu, Ma, Yi, Yi, Na and Tafazolli, Rahim (2020) A Low-Complexity Structure for Multi-user Massive MIMO with Binary Arrary-Receiver Based on Constructive Noise In: IEEE ICC 2020, 25-28 May 2020, Dublin, Ireland.

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Abstract

In this paper, single-input multiple-output (SIMO) system when employing massive binary array-receiver has been investigated while constructive noise has been observed in the single user system to detect the higher-order QAM modulated signals. To fully understand the interesting phenomenon, mathematical model has been established and analyzed in this paper. Theorems of the signal detectability are studied to understand the best operating signal-to-noise ratio (SNR) range based on the error behaviours of the single user SIMO system. Within the observation and analysis, a novel new multiuser SIMO with binary array-receiver structure has been proposed and can be considered as a solution to deal with the high complexity problem that the traditional model has when using maximum likelihood (ML) detection. The key idea of this approach is to set up the multiuser multiple-input multiple-output (MIMO) model into a frequency division multiple access (FDMA) scenario and regard each user as single user SIMO to achieve the goal of decreasing the exponentially increased complexity of ML detection method to the number of users. It is shown by numerical results that each user in this system can achieve a promising error behaviour in the specific best operating SNR range.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Liu, Lifulifu.liu@surrey.ac.uk
Ma, YiY.Ma@surrey.ac.uk
Yi, NaN.Yi@surrey.ac.uk
Tafazolli, RahimR.Tafazolli@surrey.ac.uk
Date : 1 March 2020
Funders : UK 5G Innovation Centre
Projects : European Union Horizon 2020 5G-DRIVE Project
Depositing User : James Marshall
Date Deposited : 03 Mar 2020 14:26
Last Modified : 03 Mar 2020 14:26
URI: http://epubs.surrey.ac.uk/id/eprint/853860

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