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Antenna selection techniques for large-scale MIMO

Papaioannou Dimitrios

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URI: http://purl.tuc.gr/dl/dias/915A2DD0-6484-4081-B742-347F40C0DECC
Year 2018
Type of Item Diploma Work
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Bibliographic Citation Dimitrios Papaioannou, "Antenna selection techniques for large-scale MIMO", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2018 https://doi.org/10.26233/heallink.tuc.81132
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Summary

The recent concept of large-scale multiple-input multiple-output (MIMO) systems has attracted substantial research attention and been regarded as a promising technique for next-generation wireless communications networks. Combined with the cost of analog radio-frequency chains it necessitates to work on the use of efficient antenna selection (AS) schemes. Signal-to-noise ratio (SNR) optimal transmit antenna selection and beamforming for a MIMO system that consists ofa large number of transmit antennas has been considered in this work. We examine an algorithm that has polynomial complexity and solves the transmit AS problem for maximum-SNR joint beamforming with two receive antennas and under a total power constraint. Furthermore, this thesis works on the beamforming vector approximation under a per-antenna-element powerconstraint on the transmitter, a problem which has not been efficiently solved so far and many suboptimal algorithms have been produced to tackle this problem. Some of them are examined and compared in this thesis.

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