mlsanityData to 14 Oct 2026

Diffusion Models for Wireless Communications

arXiv 2310.07312 ↗First posted 11 Oct 2023cs.IT cs.AI cs.LGcited by 6

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

Abstract (arXiv)

A comprehensive study on the applications of denoising diffusion models for wireless systems is provided. The article highlights the capabilities of diffusion models in learning complicated signal distributions, modeling wireless channels, and denoising and reconstructing distorted signals. First, fundamental working mechanism of diffusion models is introduced. Then the recent advances in applying diffusion models to wireless systems are reviewed. Next, two case studies are provided, where conditional diffusion models (CDiff) are proposed for data reconstruction enhancement, covering both the conventional digital communication systems, as well as the semantic communication (SemCom) setups. The first case study highlights about 10 dB improvement in data reconstruction under low-SNR regimes, while mitigating the need to transmit redundant bits for error correction codes in digital systems. The second study further extends the case to a SemCom setup, where diffusion autoencoders showcase superior performance compared to legacy autoencoders and variational autoencoder (VAE) architectures. Finally, future directions and existing challenges are discussed.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Placed in Diffusion for compression and wireless, one of 14 directions in Diffusion models. Builds on 9 of its 25 references that are in the map. First posted on arXiv 11 Oct 2023.

Builds on

9 of 25 references.

Closest ancestors · 3

Same direction, newest first

  1. 2023CDDM: Channel Denoising Diffusion Models for Wireless Communications16 May
  2. 2022Denoising Diffusion Error Correction Codes16 Sep
  3. 2022MIMO Channel Estimation using Score-Based Generative Models14 Apr

Other references · 6

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2023Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Datacited by 40
  3. 2018Model-free Training of End-to-end Communication Systemscited by 30
  4. 2019Joint Learning of Geometric and Probabilistic Constellation Shapingcited by 13
  5. 2023A Hybrid Wireless Image Transmission Scheme with Diffusioncited by 12
  6. 2023Score-based Source Separation with Applications to Digital Communication Signalscited by 8

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 1; 2025: 1; 2026: 3.

6 papers.

  1. 2025Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Artcited by 14
  2. 2024Diffusion Models as Network Optimizers: Explorations and Analysiscited by 13
  3. 2023Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communicationscited by 10
  4. 2026From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networkscited by 0
  5. 2026A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimationcited by 0
  6. 2026Physics-Aware Conditional SetGAN for Spatially Consistent Multi-User TR 38.901 Channel Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
  2. 2023Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications
  3. 2025Conditional Denoising Diffusion Autoencoders for Wireless Semantic Communications
  4. 2025CoDiPhy: A General Framework for Applying Denoising Diffusion Models to the Physical Layer of Wireless Communication Systems
  5. 2025Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models
  6. 2025Joint Source-Channel Noise Adding with Adaptive Denoising for Diffusion-Based Semantic Communications ↗
  7. 2026DSRDM: Digital Signal Recovery Diffusion Model for Semantic Communications
  8. 2025Diffusion Models for Future Networks and Communications: A Comprehensive Survey