Recent intensive and extensive development of the fifth-generation (5G) of cellular networks
has led to their deployment throughout much of the world. As part of this implementation …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Digital receivers are required to recover the transmitted symbols from their observed
channel output. In multiuser multiple-input multiple-output (MIMO) setups, where multiple …

The evolution of the previous mobile communication generations has led to innovative goals
of the Internet of Everything (IoE) in the 5G. However, addressing all IoE-associated …

Classical and centralized Artificial Intelligence (AI) methods require moving data from
producers (sensors, machines) to energy hungry data centers, raising environmental …

Deep learning has achieved remarkable success in many machine learning tasks such as
image classification, speech recognition, and game playing. However, these breakthroughs …

Stochastic compositional optimization generalizes classic (non-compositional) stochastic
optimization to the minimization of compositions of functions. Each composition may …

This paper considers an Internet-of-Things (IoT) scenario in which devices sporadically
transmit short packets with few pilot symbols over a fading channel. Devices are …

Recent years have witnessed growing interest in the application of deep neural networks
(DNNs) for receiver design, which can potentially be applied in complex environments …

The integrated terrestrial and non-terrestrial networks in 5G and beyond 5G are envisioned
to support dynamic, seamless, and differentiated services for emerging use cases with …