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20222024
most citedGenerative AI for Physical Layer Communications: A Survey

4 citations · 15 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.NI2023★ 4 cited

Generative AI for Physical Layer Communications: A Survey

Nguyen Van Huynh, Jiacheng Wang, Hongyang Du +5

The recent evolution of generative artificial intelligence (GAI) leads to the emergence of groundbreaking applications such as ChatGPT, which not only enhances the efficiency of di…

eess.SP2023★ 1 cited

Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective

Jiacheng Wang, Hongyang Du, Dusit Niyato +4

As generative artificial intelligence (GAI) models continue to evolve, their generative capabilities are increasingly enhanced and being used extensively in content generation. Bey…

cs.NI2023★ 1 cited

A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks

Jiacheng Wang, Hongyang Du, Dusit Niyato +6

With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content gen…

cs.AI2023

Guiding AI-Generated Digital Content with Wireless Perception

Jiacheng Wang, Hongyang Du, Dusit Niyato +5

Recent advances in artificial intelligence (AI), coupled with a surge in training data, have led to the widespread use of AI for digital content generation, with ChatGPT serving as…

eess.SP2023

AI-Generated Incentive Mechanism and Full-Duplex Semantic Communications for Information Sharing

Hongyang Du, Jiacheng Wang, Dusit Niyato +3

The next generation of Internet services, such as Metaverse, rely on mixed reality (MR) technology to provide immersive user experiences. However, the limited computation power of…