Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

Large language models (LLMs) have received considerable attention recently due to their
outstanding comprehension and reasoning capabilities, leading to great progress in many …

Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for
various future applications like metaverse, mixed reality, and the Internet of everything …

In this paper, the problem of joint communication and computation design for probability
graph-based semantic communication over wireless networks is investigated. In the …

The rapid development of the Large Language Model (LLM) presents huge opportunities for
6G communications, eg, network optimization and management by allowing users to input …

In this paper, we present a probability graph-based semantic information compression
system for scenarios where the base station (BS) and the user share common background …

In this article, the problem of low-latency communication and computation resource
allocation for digital twin (DT) over wireless networks is investigated. In the considered …

Federated edge learning (FL), as an emerging distributed machine learning paradigm,
allows a mass of edge devices to collaboratively train a global model while preserving …

Space-air-ground integrated networks (SAGINs) enable worldwide network coverage
beyond geographical limitations for users to access ubiquitous intelligence services.{\color …

In this paper, the problem of semantic information extraction for resource constrained text
data transmission is studied. In the considered model, a sequence of text data need to be …