Since traffic in networks is growing rapidly, it is difficult for the existing network architecture to
support the huge traffic requirement. This article proposes a novel intelligent architecture as …

Recently, deep learning, an emerging machine learning technique, is garnering a lot of
research attention in several computer science areas. However, to the best of our …

With the rapid development of smart terminals and infrastructures, as well as diversified
applications (eg, virtual and augmented reality, remote surgery and holographic projection) …

The envisioned 6G networks are expected to support extremely high data rates, low-latency,
and radically new applications empowered by machine learning. The futuristic 6G networks …

Recently, deep learning has appeared as a breakthrough machine learning technique for
various areas in computer science as well as other disciplines. However, the application of …

Multi-access Edge Computing (MEC) and ubiquitous smart devices help serve end-users
efficiently and optimally through providing emerging edge-deployed services. Meanwhile …

Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …

With the proliferation of connected devices and emerging data-hungry applications, the
volume of mobile data traffic is predicted to have a 1000-fold growth by the year 2020. To …

It aims to explore the efficient and reliable wireless transmission and cooperative
communication mechanism of Internet of Vehicles (IoV) based on edge intelligence …

Recently, network operators are confronting the challenge of exploding traffic and more
complex network environments due to the increasing number of access terminals having …