Generative AI and AI Generated Content (AIGC)

  1. Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study Paper, YouTube, Bilibili
    2. This paper highlights how prompt engineering and AIGC are related to mobile networks.

  2. Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization Paper, YouTube, Bilibili
    3. The first tutorial paper to explain various applications of diffusion models and coding examples.

  3. User-Centric Interactive AI for Distributed Diffusion Model-based AI-Generated Content Paper, YouTube, Bilibili
    4. This paper introduces user-centric Interactive AI (IAI) in that multiple users are grouped based on their content generation requirements semantically. To optimize AI-generated content (AIGC) services, the Reinforcement Learning With Large Language Models Interaction (RLLI), which utilizes Large Language Model (LLM) was also introduced to represent human users.

  4. Generative AI-aided Joint Training-free Secure Semantic Communications via Multi-modal Prompts Paper, YouTube, Bilibili
    5. This paper demonstrates how multi-modal prompt (text+video) can improve AIGC used in semantic communication with covert communication technique.

  5. Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective Paper, YouTube, Bilibili
    6. The paper showcases the use of generative AI in integrated sensing and communications, especially from physical layer.

  6. Federated Learning-Empowered AI-Generated Content in Wireless Networks Paper, YouTube, Bilibili
    7. This paper presents the federated learning design to support AIGC with privacy preservation.

  7. Guiding AI-Generated Digital Content with Wireless Perception Paper, YouTube, Bilibili
    8. The paper explains the use of wireless sensing data for input of AIGC applications to generate images and videos.

  8. Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study Paper, YouTube, Bilibili
    9. The paper gives specific examples of generative AI to optimize wireless networks.

  9. AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach Paper, YouTube, Bilibili
    10. The paper introduces the concept of AI-Generated Network (AIGN) and the use of diffusion models to solve deep reinforcement learning (DRL) for network optimization.

  10. Generative AI-enabled Vehicular Networks: Fundamentals, Framework, and Case Study Paper, YouTube, Bilibili
    11. The paper summarizes and showcases how generative AI can be used in healthcare applications.

  11. A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC Paper, YouTube, Bilibili
    12. The paper summarizes and showcases how generative AI can be used in healthcare applications.

  12. Flexible-Position MIMO for Wireless Communications: Fundamentals, Challenges, and Future Directions Paper, YouTube, Bilibili
    13. The paper disucsses a new type of an antenna system that allows antenna elements to be adjusted location-wise; generative AI is also used to optimize the location and movement paths of the antenna elements.

  13. YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction Paper, YouTube, Bilibili
    14. The paper introduces a new semantic communication application that utilizes a generative AI method to solve edge resource allocation to construct efficient digital twins.