We consider forward-link multiuser MIMO transmission, whereby K users are served by a
base station with a large number of (potentially distributed) transmit antennas. We address …

Multiple transmitting antennas can considerably increase the downlink spectral efficiency by
beamforming to multiple users at the same time. However, multiuser beamforming requires …

We consider a multicell frequency-selective fading uplink channel (network MIMO) from K
single-antenna user terminals (UTs) to B cooperative base stations (BSs) with M antennas …

The idea of end-to-end learning of communication systems through neural network (NN)-
based autoencoders has the shortcoming that it requires a differentiable channel model. We …

We consider the downlink of a multicell system with multiantenna base stations and single-
antenna user terminals, arbitrary base station cooperation clusters, distance-dependent …

Federated learning is a very promising machine learning paradigm where a large number of
clients cooperatively train a global model using their respective local data. In this paper, we …

The reflective elements on an intelligent reconfigurable surface (IRS) can be tuned to
improve the propagation environment and, in turn, the system performance, provided …

The recent development in machine learning, especially in deep neural networks (DNN),
has enabled learning-based end-to-end communication systems, where DNNs are …

With the proliferation of deep learning techniques for wireless communication, several works
have adopted learning-based approaches to solve the channel estimation problem. While …

We propose a cellular architecture that combines multiuser MIMO downlink with
opportunistic use of unlicensed Industrial, Scientific, and Medical Radio (ISM) bands to …