In recent few years, the antenna and sensor communities have witnessed a considerable
integration of radio frequency identification (RFID) tag antennas and sensors because of the …

We focus on over-the-air (OTA) Federated Learning (FL), which has been suggested
recently to reduce the communication overhead of FL due to the repeated transmissions of …

We consider a distributed learning problem over multiple access channel (MAC) using a
large wireless network. The computation is made by the network edge and is based on …

In this paper, we study channel-aware decision fusion (DF) in a wireless sensor network
(WSN), where the sensors transmit their decisions simultaneously for spectral efficiency …

In this paper, we provide a study of channel-aware decision fusion (DF) over a “virtual”
multiple-input multiple-output (MIMO) channel in the large-array regime at the DF center …

The diagnosis of complicated fault severity problems in rotating machinery systems is an
important issue that affects the productivity and quality of manufacturing processes and …

We consider the detection and estimation of a zero-mean Gaussian signal in a wireless
sensor network with a coherent multiple access channel, when the fusion center (FC) is …

Anomaly detection in communication networks is the first step in the challenging task of
securing a network, as anomalies may indicate suspicious behaviors, attacks, network …

This paper considers the problem of cooperative spectrum sensing in multiuser multiple-
input multiple-output cognitive radio networks considering the presence of uncertainty in the …

In this paper, we consider a wireless sensor network (WSN) with sensors simultaneously
reporting their decision to a fusion center (FC) equipped with multiple antennas. A Gaussian …