The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

As the renewable energy sources (RES) continues to grow in power system due to
emissions decarbonisation and sustainability policies, a fast and reliable connection …

6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has
recently attracted significant attention due to its superior capability to reduce the energy …

The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …

The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

The lack of the computation services in remote areas motivates power Internet of Things
(IoT) to apply unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) …

With the popularity of mobile devices and development of computationally intensive
applications, researchers are focusing on offloading computation to the mobile-edge …

Deep learning based intelligent intrusion detection (IID) methods have been received
strongly attention for computer security protection in cybersecurity. All these learning models …

For future networks in the 6G, it will be important to maintain a ubiquitous connection, bring
processing heavy applications to remote areas, and analyze big amounts of data to …