Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

To process and transfer large amounts of data in emerging wireless services, it has become
increasingly appealing to exploit distributed data communication and learning. Specifically …

In this paper, we investigate a distributed machine learning approach for a multiuser mobile
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …

Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …

Edge computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …

This paper addresses the problem of minimising latency in computation offloading with
digital twin (DT) wireless edge networks for industrial Internet-of-Things (IoT) environment …

Integrated sensing, communication, and computation (ISCC) will become a key enabler for
automation applications. However, since the performance region of ISCC has a higher …

With the rapid development of mobile industrial applications and due to the limited coverage
of static edge servers, traditional edge computing technology has great limitations in …

In this paper, we study joint communication and computation offloading (JCCO) for
hierarchical edge-cloud systems with ultra-reliable and low latency communications …

In the Internet of Everything era, various Internet of Things (IoT) devices have become
popular, and the number of computing-intensive applications has increased substantially. As …