Autoencoder-based MIMO Communications with Learnable ADCs-Reference-Cited by-同舟云学术

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Autoencoder-based MIMO Communications with Learnable ADCs

Published:2021-10-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 21st International Conference on Communication Technology (ICCT)
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Author:

Ye Wenhao¹,Ren Boxiang¹,Wang Zihao²,Wu Huihui³,Wu Hao¹,Bai Bo³,Zhang Gong³

Affiliation:

1. Tsinghua University,Department of Mathematical Sciences,Beijing,China,100084

2. The Hong Kong University of Science and Technology,Departrnent of Computer Science and Engineering,Hong Kong,SAR,China

3. Huawei Hong Kong Research Center,Theory Lab,Hong Kong,SAR,China

Funder

National Natural Science Foundation of China

Tsinghua University Initiative Scientific Research Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9657830/9657831/09658065.pdf?arnumber=9658065

Reference18 articles.

1. Deep Learning Design for Joint Antenna Selection and Hybrid Beamforming in Massive MIMO

2. TC-MIMONet: A Learning-based Transceiver for MIMO Systems with Temporal Correlations

3. Soft -to- Hard Vector Quantization for End-to-End Learning Compressible Representations;agustsson;ArXiv Preprint,2017

4. Full Resolution Image Compression with Recurrent Neural Networks

5. Deep Quantization for MIMO Channel Estimation

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