BNNs- and TISTA- Based Signature Code Design for User Identification and Channel Estimation over Multiple-Access Channel with Rayleigh Fading
Author:
Affiliation:
1. Gifu University,Graduate School of Engineering,Gifu,Japan
2. Gifu University,Dept. of Elec., Elec. and Computer Eng,Gifu,Japan
Funder
Japan Society for the Promotion of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160228/10160229/10161674.pdf?arnumber=10161674
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1. OFDM-Autoencoder for End-to-End Learning of Communications Systems
2. Computational Methods for Sparse Solution of Linear Inverse Problems
3. Deep Learning-Based Spreading Sequence Design and Active User Detection for Massive Machine-Type Communications
4. Deep Learning-Aided SCMA
5. Larq: An Open-Source Library for Training Binarized Neural Networks
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