AI-generated network design: A diffusion model-based learning approach

Y Huang, M Xu, X Zhang, D Niyato, Z Xiong… - … Network, 2023 - ieeexplore.ieee.org
… Motivated by the above issues and trends, we design the AIGN framework with the diffusion
model-based learning approach. Several appealing properties of AIGN are derived, and the …

At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence

A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
learning (ML) and artificial intelligence (AI) can efficiently deal with complex problems by
complementing or replacing model-based approaches. … in mobile AI-Generated Content (AIGC) …

Diffusion-based reinforcement learning for edge-enabled AI-generated content services

H Du, Z Li, D Niyato, J Kang, Z Xiong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
… ) algorithm, a diffusion model-based approach for generating … , the Sixth Generation (6G) of
wireless networks is emerging … propose a novel diffusion model-based AIGenerated Optimal …

Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges

F Khoramnejad, E Hossain - arXiv preprint arXiv:2405.17454, 2024 - arxiv.org
AI-generated contracts showcase GAI’s potential for establishing trust … learning methods,
CSC utilizes model-based reinforcement … We will delve into the details of diffusion models in the …

Generative AI-driven semantic communication networks: Architecture, technologies and applications

C Liang, H Du, Y Sun, D Niyato, J Kang, D Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
… of SemCom in 6G and discusses potential applications of 6G in SemCom-empowered … the
AIGenerated Optimal Decision (AGOD) algorithm, which leverages diffusion model-based GAI …

Towards Multi-Task Generative-AI Edge Services with an Attention-based Diffusion DRL Approach

Y Liu, X Lin, S Li, G Li, Q Mao, J Li - arXiv preprint arXiv:2405.08328, 2024 - arxiv.org
… the wireless network. Benefiting from the advances in 5G and upcoming 6G technologies
[12]… “User-centric interactive ai for distributed diffusion modelbased ai-generated content,” arXiv …

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
… , is a powerful and unique approach to learning and generating data. This paper … in AI-Generated
Content (AIGC) domains. For instance, Stable Diffusion [18], a diffusion model-based

User-centric interactive AI for distributed diffusion model-based AI-generated content

H Du, R Zhang, D Niyato, J Kang, Z Xiong… - arXiv preprint arXiv …, 2023 - arxiv.org
… of diffusion steps. Furthermore, to maximize the users’ subjective QoE, we propose a IAI
approach, ie, Reinforcement Learning … for emerging sixthgeneration (6G) networks with human-…

Advanced Deep Learning Models for 6G: Overview, Opportunities and Challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
… INTELLIGENT NETWORK MANAGEMENT The hand-crafted method, while functional for …
of modern wireless networks, especially as we approach the 6G era [111]. These systems are …

GainNet: Coordinates the Odd Couple of Generative AI and 6G Networks

N Chen, J Yang, Z Cheng, X Fan, Z Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
… Abstract—The rapid expansion of AI-generated content (… into the optimization of the GAI
model based on the FL framework. … -based resource orchestration method to automatically learn …