Bit Error and Block Error Rate Training for ML-Assisted Communication-Reference-Cited by-同舟云学术

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Bit Error and Block Error Rate Training for ML-Assisted Communication

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Wiesmayr Reinhard¹,Marti Gian¹,Dick Chris²,Song Haochuan³,Studer Christoph¹

Affiliation:

1. ETH Zurich

2. NVIDIA

3. Southeast University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095841.pdf?arnumber=10095841

Reference24 articles.

1. On deep learning-based channel decoding

2. DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems

3. Deep Learning for Massive MIMO Uplink Detectors

4. Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate;belkin;Proc Advances Neural Inf Process Syst (NeurIPS),2018

5. Deep Learning Methods for Improved Decoding of Linear Codes

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers;IEEE Transactions on Machine Learning in Communications and Networking;2024

2. Joint Self-Interference Cancellation and Data Estimation for OFDM Based Full-Duplex Communication Systems;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

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