Artificial intelligence (AI)-powered autonomous vehicles (AVs) can integrate different
machine learning (ML) techniques to build up a complex autonomous driving system …

In recent years, we have witnessed a major expansion of wireless communications,
extending from terrestrial to aerial spaces to facilitate novel user services. While aerial …

Mobile edge computing (MEC) enables mobile devices (MDs) to offload computation-
intensive tasks to edge servers to support a variety of latency-sensitive emerging …

The combination of artificial intelligence, 5G technology, and cloud computing has altered
energy conversion processes, most notably the use of agricultural waste for sustainable …

Mobile edge computing (MEC) has been regarded as a promising paradigm to support the
compute-intensive and delay-sensitive industrial Internet of things (IIoT) applications …

The number of wireless communication devices has grown exponentially with the evolution
of wireless systems. Moreover, the development of technologies such as the Internet of …

Future networks incorporate artificial intelligence to enable smart resource management and
adaptive service provisioning. With a heterogeneous architecture and a large number of …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

Although many proposals have been developed for the sixth-generation (6G) technology,
realizing 6G is fraught with numerous fundamental interdisciplinary, multidisciplinary, and …

This article provides a comprehensive examination of sustainable 6G wireless
communication systems, addressing the urgent need for environmentally friendly and …