mlsanityData to 7 Oct 2026

Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study

arXiv 2303.17114 ↗First posted 30 Mar 2023cs.NI cs.AI cs.LGcited by 21

On the map: Diffusion models → Diffusion for compression and wireless

Abstract (arXiv)

With the phenomenal success of diffusion models and ChatGPT, deep generation models (DGMs) have been experiencing explosive growth from 2022. Not limited to content generation, DGMs are also widely adopted in Internet of Things, Metaverse, and digital twin, due to their outstanding ability to represent complex patterns and generate plausible samples. In this article, we explore the applications of DGMs in a crucial task, i.e., improving the efficiency of wireless network management. Specifically, we firstly overview the generative AI, as well as three representative DGMs. Then, a DGM-empowered framework for wireless network management is proposed, in which we elaborate the issues of the conventional network management approaches, why DGMs can address them efficiently, and the step-by-step workflow for applying DGMs in managing wireless networks. Moreover, we conduct a case study on network economics, using the state-of-the-art DGM model, i.e., diffusion model, to generate effective contracts for incentivizing the mobile AI-Generated Content (AIGC) services. Last but not least, we discuss important open directions for the further research.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). Placed in Diffusion for compression and wireless, one of 14 directions in Diffusion models. Builds on 8 of its 22 references that are in the map. First posted on arXiv 30 Mar 2023.

Builds on

8 of 22 references.

References · 8

  1. 2021Palette: Image-to-Image Diffusion Modelscited by 1,296
  2. 2022Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learningcited by 543
  3. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 251
  4. 2021A Comprehensive Survey of Incentive Mechanism for Federated Learningcited by 38
  5. 2019Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communicationcited by 21
  6. 2023Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networkscited by 21
  7. 2018Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theorycited by 14
  8. 2023Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networkscited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 9; 2025: 4; 2026: 1.

21 papers.

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  1. 2023Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimizationcited by 56
  2. 2024Attacks and Defenses for Generative Diffusion Models: A Comprehensive Surveycited by 32
  3. 2023Federated Learning-Empowered AI-Generated Content in Wireless Networkscited by 26
  4. 2024At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligencecited by 25
  5. 2023Generative AI for Physical Layer Communications: A Surveycited by 17
  6. 2023From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlookscited by 16
  7. 2024Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challengescited by 14
  8. 2024Diffusion Models as Network Optimizers: Explorations and Analysiscited by 13
  9. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 13
  10. 2023Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communicationscited by 10
  11. 2024Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Surveycited by 9
  12. 2024Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaversescited by 7
9 more
  1. 2024GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networkscited by 6
  2. 2023Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approachcited by 4
  3. 2025Lung-DDPM+: Efficient Thoracic CT Image Synthesis using Diffusion Probabilistic Modelcited by 4
  4. 2024Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networkscited by 2
  5. 2025Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approachescited by 2
  6. 2025Multi-Agent Conditional Diffusion Model with Mean Field Communication as Wireless Resource Allocation Plannercited by 1
  7. 2023Denoising Diffusion Probabilistic Models for Hardware-Impaired Communicationscited by 0
  8. 2024Strategic Demand-Planning in Wireless Networks: Can Generative-AI Save Spectrum and Energy?cited by 0
  9. 2026Diffusion Offline Reinforcement Learning for Fair and Energy-Efficient UAV-Assisted Wireless Networkscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Diffusion Models for Future Networks and Communications: A Comprehensive Survey
  2. 2024Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model Perspective
  3. 2026From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks
  4. 2023Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
  5. 2024Next-Generation Wi-Fi Networks with Generative AI: Design and Insights
  6. 2024DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation
  7. 2025Mapping the Landscape of Generative AI in Network Monitoring and Management
  8. 2023A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks