Channel Estimation for Millimeter-Wave Massive MIMO Systems Based On Fast and Flexible Denoising Network
Author:
Affiliation:
1. Qilu University of Technology (Shandong Academy of Sciences), China
2. Shandong University, China
3. King's College London University's School of Electronic Engineering, England
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3633637.3633660
Reference17 articles.
1. A Study on the Basics Processes of Massive MIMO
2. Deep Unfolding for Communications Systems: A Survey and Some New Directions
3. Deep Learning-Based Channel Estimation for Massive MIMO Systems
4. Wei Gao Meihong Yang Wei Zhang Yuhan Zhao Yan Zhou and Kai Zhang. 2021. FFDNet-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems. In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications Big Data & Cloud Computing Sustainable Computing & Communications Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). 1167–1170. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00160
5. Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array
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