Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling-Reference-Cited by-同舟云学术

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Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Sengupta Ushnish¹,Jao Chinkuo²,Bernacchia Alberto¹,Vakili Sattar¹,Shiu Da-shan¹

Affiliation:

1. MediaTek research

2. MediaTek

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437154.pdf?arnumber=10437154

Reference16 articles.

1. Markov modeling of 802.11 channels

2. A Communication Channel Density Estimating Generative Adversarial Network

3. ChannelGAN: Deep Learning-Based Channel Modeling and Generating

4. MIMO-GAN: Generative MIMO Channel Modeling

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1. DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Generative AI for Physical Layer Communications: A Survey;IEEE Transactions on Cognitive Communications and Networking;2024-06

3. GAN-based Massive MIMO Channel Model Trained on Measured Data;2024 27th International Workshop on Smart Antennas (WSA);2024-03-17

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