Channel Estimation for Intelligent Reflecting Surface Aided Wireless Communications Using Conditional GAN
Author:
Affiliation:
1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9915495/09761227.pdf?arnumber=9761227
Reference19 articles.
1. Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis
2. Channel Estimation for RIS Assisted Wireless Communications—Part II: An Improved Solution Based on Double-Structured Sparsity
3. Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems
4. Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
5. Deep Learning Based Channel Estimation Algorithm for Fast Time-Varying MIMO-OFDM Systems
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1. A Novel Two-Step Channel Estimation Method for RIS-Assisted mmWave Systems;Sensors;2024-08-19
2. GNN-Based Channel Estimation for Intelligent Reflecting Surface Aided Multiuser Systems Relying on User Locations;IEEE Wireless Communications Letters;2024-08
3. CRGAN-based turbo code interleaver for underwater acoustic communications;ICT Express;2024-06
4. Standalone Intelligent Reflecting Surface With Automatic Update of Phase-Shift Switching Schedule for Improved Communication and Localization;IEEE Transactions on Vehicular Technology;2024-06
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