In edge computing (EC), when the edge server (ES) is processing tasks delivered by the
mobile devices (MDs), the MDs move outside the coverage of the ES, where task migration …

We present a novel approach aimed at enhancing the efficacy of solving both regular and
distributionally robust chance constrained programs using an empirical reference …

With the emergence of the 5G/6G communications, edge computing has attracted increasing
research interests in recent years. To provide pervasive 5G/6G edge computing services …

With the proliferation of resource-hungry applications, a common paradigm to quickly
respond to the everincreasing demands of tasks is mobile edge computing (MEC), which …

Combining deep learning (DL) with nanotechnology holds promise for transforming key
facets of nanoscience and technology. This synergy could pave the way for groundbreaking …

We consider a discrete-time system where a resource-constrained source (eg, a small
sensor) transmits its time-sensitive data to a destination over a time-varying wireless …

The convergence of communication and computation, along with the integration of machine
learning and artificial intelligence, stand as key empowering pillars for the sixth-generation …

In In edge-cloud environments, mobile nodes face significant challenges due to their
mobility and the distributed nature of the environment. The unstable communication links …

The digital landscape has changed in recent years due to the rise in popularity of edge
computing and Content Delivery Networks (CDNs), which offer faster and more effective …

In recent years, the remarkable development in ubiquitous communication networks and
smart portable devices spawned a wide variety of real-time applications that require timely …