MSTGAN: A Multi-Slot Conditional Generative Adversarial Network Based on Swin Transformer for Channel Estimation
Author:
Affiliation:
1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
Funder
Key R&D Program of Shandong Province
Beijing Municipal Science and Technology Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10178697/10113211.pdf?arnumber=10113211
Reference16 articles.
1. SwinIR: Image Restoration Using Swin Transformer
2. VOLO: Vision outlooker for visual recognition;yuan;IEEE Trans Pattern Anal Mach Intell,2023
3. Image-to-Image Translation with Conditional Adversarial Networks
4. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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1. A Hybrid Network based on MLP-Mixer for OFDM Channel Estimation;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21
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