Generative Artificial Intelligence for Next-Generation Networks

In an era of unprecedented data generation and advancements in network design, especially the significant transition from 5G to a more anthropocentric and data-rich 6G network, the demand
for innovative and quality-driven data management and processing solutions has intensified. At the forefront of this technological evolution is Generative Artificial Intelligence (GAI),
revolutionizing our understanding and synthesis of diverse datatypes. Notable examples such as OpenAI’s ChatGPT and DALL-E 3 illustrate the expanding capabilities of GAI in enhancing
machine cognition and broadening applications across linguistic and visual generation.

Considering the growing ability of GAI to innovate and contribute to areas traditionally dominated by human intelligence, Hongyang’s research is strategically positioned at the nexus of GAI and future internet technologies. He is investigating novel strategies, mechanisms, and frameworks to leverage GAI’s power efficiently and effectively. The primary objective is to explore “how the intelligent networks can support various AI-Generated Content (AIGC) services”, and “how GAI as a cutting-edge machine learning tool can enhance intelligent network performance, security, and reliability”. This involves delving into integrating various networking methodologies, including semantic communications, resource allocation, and integrated sensing and communications, to contribute to developing intelligent, adaptive, and predictive networks.