Since Shannon's pioneering masterpiece which established the prototype of modern
information theory, the goal of communications has long been promising accurate message …

In order to solve real-world problems associated with development of Cognitive Solutions,
several key problems need to be addressed. The current state of art in AI/ML is too limited for …

Semantic Communication (SC) has emerged as a novel communication paradigm that
provides a receiver with meaningful information extracted from the source to maximize …

In this letter, we present a novel federated semantic learning (FedSem) framework to
collaboratively train the semantic-channel encoders of multiple devices with the coordination …

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

The recent emergence of 6G raises the challenge of increasing the transmission data rate
even further in order to overcome the Shannon limit. Traditional communication methods fall …

Semantic communications utilize the transceiver computing resources to alleviate scarce
transmission resources, such as bandwidth and energy. Although the conventional deep …

The last seventy years have witnessed the transition of communication from Shannon's
theoretical concept to current high-efficient practical systems. Classical communication …

The mobile communication system has transformed to be the fundamental infrastructure to
support digital demands from all industry sectors, and 6G is envisioned to go far beyond the …

Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …