We propose a nonlinear phase-quantized constantenvelope precoding algorithm for the massive multi-user (MU) multiple-input multiple-output (MIMO) downlink. Specifically, we adapt the squared-infinity norm Douglas-Rachford splitting (SQUID) precoder to systems that use oversampling digital-toanalog converters (DACs) at the base station (BS) and orthogonal frequency-division multiplexing (OFDM) t...

This paper proposes the nonlinear Least Square Error (LSE) precoders for multiuser MIMO broadcast channels. The output signals of LSE Precoders are limited to be chosen from a predefined set which let these precoders address several constraints such as peak power limitation, constant envelope transmission and discrete constellations. We study the large-system performance of these precoders via ...

Future mobile communication systems will be based on a combination of MIMO and OFDM. For the design of MIMO techniques system simulations are an important tool, if they accurately predict behaviour in reality. For the realistic inclusion of high power amplifier (HPA) behaviour, this paper describes a measurement procedure as well as the adaptation to behavioural modeling. The amplifier model is...

The contribution of this paper is to provide a nonlinear MIMO scheme for a drying process, composed by four fuzzy controllers: Fuzzy Dehumidifier Controller (FDC-PD), Fuzzy Humidifier Controller (FHRC-PD), Fuzzy Electrical Resistance controller (FERC-PD) and Fuzzy Blower Controller (FBC-FD) and compare with results obtained previously with PID control scheme. The main aim is to allow the resear...

The problem of robust disturbance rejection (RDR) using a proportional state feedback controller is studied for the case of Left Invertible MIMO generalized state space linear systems with nonlinear uncertain structure. Sufficient conditions for the problem to have a solution are established. The set of all proportional feedback controllers solving the problem subject to these conditions is ana...

In this article, we address the problem of singular value decomposition of polynomial matrices and eigenvalue decomposition of para-Hermitian matrices. Discrete Fourier transform enables us to propose a new algorithm based on uniform sampling of polynomial matrices in frequency domain. This formulation of polynomial matrix decomposition allows for controlling spectral properties of the decompos...

This article extends the tensor network Kalman filter to matrix outputs with an application in recursive identification of discrete-time nonlinear multiple-input-multiple-output (MIMO) Volterra systems. This extension completely supersedes previous work, where only l scalar outputs were considered. The Kalman tensor equations are modified to accommodate for matrix outputs and their implementati...

|A number of techniques have been introduced to construct fuzzy models from measured data. Most attention has been focused on multiple-input, single-output (MISO) systems. This article concentrates on the identi cation of multiple-input, multiple-output (MIMO) systems by means of product-space fuzzy clustering with adaptive distance measure (the Gustafson-Kessel algorithm). The MIMOmodel is rep...