The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

Machine learning is one of the key building blocks in 5G and beyond [1–3], spanning a
broad range of applications and use cases. In the context of mission-critical applications [2 …

Wireless connectivity is instrumental in enabling scalable federated learning (FL), yet
wireless channels bring challenges for model training, in which channel randomness …

5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important
applications of 5G wireless network which requires minimum latency and higher reliability to …

How can machine learning help the design of future communication networks-and how can
future networks meet the demands of emerging machine learning applications? Discover the …

Federated learning (FL) is a promising distributed learning solution that only exchanges
model parameters without revealing raw data. However, the centralized architecture of FL is …

In this article, we propose a communication-efficient decentralized machine learning (ML)
algorithm, coined quantized group ADMM (Q-GADMM). To reduce the number of …

This handbook covers basic concepts of Information and mathematical theory that deals with
the fundamental aspects of communication systems. The purpose of this Hand-Book is to …

In this paper, a novel framework is proposed to perform data-driven air-to-ground channel
estimation for millimeter wave (mmWave) communications in an unmanned aerial vehicle …