This paper focuses on the profit maximization problem in a reconfigurable intelligent
surfaces (RIS) aided computing network, where multiple heterogeneous users offload their …

This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge
computing (MEC) network with multiple sources and one computing access point (CAP), in …

Abstract Knowledge sharing is a critical aspect of machine learning and knowledge
management, which also plays an important role in regulating the power grid networks …

To accommodate the growth of data traffic of 6G and beyond networks, achieving a
significant improvement in spectrum efficiency is inevitable. Full-duplex systems are very …

Semantic communication and spectrum sharing are pivotal technologies in addressing the
perennial challenge of scarce spectrum resources for the sixth-generation (6G) …

As a critical component of space-air-ground integrated IoT, the aerial network provides
highly reliable, low-latency and ubiquitous information services to ground users by virtue of …

With the capacities of self-learning, acquainted capacities, high-speed looking for ideal
arrangements, solid nonlinear fitting, and mapping self-assertively complex nonlinear …

Abstract Machine learning in small-scale unmanned aerial vehicle (UAV) deployment fails to
accomplish complex missions of swarm intelligence. Federated learning (FL) tackles it by …

Inspired by the ever-developing information technology and scalable information systems,
digital smart grid networks with knowledge graph have been widely applied in many …

In this paper, we study the relaying and cache aided digital grid data transmission, where
the relaying may be equipped by caching or not, depending on specific applications. For …