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Resumo(s)
As the demands for faster and cheaper telecommunication systems continue to grow,
so to do the demands for more efficient and secure systems. There have been several
solutions proposed, with the most commonly accepted ones employing Massive Multiple
Input, Multiple Output (mMIMO), featuring large arrays of antennas. The downside of
these systems lies mainly in the need for computationally heavy channel equalization
algorithms and the high hardware requirements, namely due to the need of many Power
Amplifiers (PAs), Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters
(DACs). This work analyses receivers that can handle these downsides, beginning with the
low complexity equalization receivers Maximal-Ratio Detector (MRD) and Equal-Gain
Detector (EGD), that can lower the equalization’s computation time. Then a Singular
Value Decomposition (SVD) receiver is studied, with a proposed interleaving scheme to
allow for equal performance on all streams, combined with a scheme for estimating and
cancelling the non-linear distortion to reduce the impact of cheaper and more powerefficient
PAs. These receivers are then improved with the introduction of an error correcting
convolutional code. Lastly, it is demonstrated that the SVD receiver can be appealing
as a solution for Physical Layer Security (PLS) in mMIMO systems.
Descrição
Palavras-chave
Massive MIMO Singular Value Decomposition Physical Layer Security Nonlinearities
