This paper introduces a unified deep neural network (DNN)-based precoder for two-user
multiple-input multiple-output (MIMO) networks with five objectives: data transmission …

Transmitter precoding for multiple-input-multiple-output orthogonal frequency division
multiplexing (MIMO-OFDM) is an effective way of leveraging the diversity gains afforded by a …

Precoding for multiple-input multiple-output (MIMO) antenna systems is considered with
perfect channel knowledge available at both the transmitter and the receiver. For two …

In spatial multiplexing systems, transmission reliability is enhanced by the full channel state
information (CSI) used to design optimum linear precoders, but in practice a full CSI is often …

We present a new multiple-input-multiple-output (MIMO) precoding scheme using LDL H
channel decomposition. The proposed method is verified to have lower complexity and …

Space division multiple access (SDMA) promises high gains in the system throughput of
wireless multiple antenna systems. If SDMA is used on the downlink of a multi-user multiple …

In this paper, we propose some ameliorations and a comparison of linear closed form
precoding techniques for Multi-User MIMO (MU-MIMO) systems. In fact, the sum-rate, one of …

This work proposes a per-subband multiple input multiple output (MIMO) precoder selection
technique for point-to-point MIMO orthogonal frequency division multiplexing (OFDM) based …

This paper studies a nonlinear vector precoding scheme which inverts the wireless multiple-
input multiple-output (MIMO) channel at the transmitter so that simple symbol-by-symbol …

In this paper, we present a new precoding technique using rotation transformations for
closed loop multiple-input multiple-output (MIMO) wireless systems, which does not require …