A digital twin (DT) leverages a virtual representation of the physical world, along with
communication (eg, 6G), computing (eg, edge computing), and artificial intelligence (AI) …

Abstract A Digital Twin (DT) is a digital copy or virtual representation of an object, process,
service, or system in the real world. It was first introduced to the world by the National …

Despite the basic premise that next-generation wireless networks (eg, 6G) will be artificial
intelligence (AI)-native, to date, most existing efforts remain either qualitative or incremental …

Optimal resource allocation in modern communication networks calls for the optimization of
objective functions that are only accessible via costly separate evaluations for each …

Artificial intelligence (AI) algorithms based on neural networks have been designed for
decades with the goal of maximising some measure of accuracy. This has led to two …

Embodying the principle of simulation intelligence, digital twin (DT) systems construct and
maintain a high-fidelity virtual model of a physical system. This paper focuses on ray tracing …

The energy consumption of mobile networks poses a critical challenge. Mitigating this
concern necessitates the deployment and optimization of network energy-saving solutions …

Neuromorphic computing leverages the sparsity of temporal data to reduce processing
energy by activating a small subset of neurons and synapses at each time step. When …

Current industrial communication systems (ICS) are undergoing a transformation, leveraging
a multitude of technologies to meet the specific needs of the manufacturing and automation …

Large pre-trained sequence models, such as transformer-based architectures, have been
recently shown to have the capacity to carry out in-context learning (ICL). In ICL, a decision …