HybridDeepRx: Deep Learning Receiver for High-EVM Signals-Reference-Cited by-同舟云学术

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HybridDeepRx: Deep Learning Receiver for High-EVM Signals

Published:2021-09-13 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Author:

Pihlajasalo Jaakko,Korpi Dani,Honkala Mikko,Huttunen Janne M. J.,Riihonen Taneli,Talvitie Jukka,Brihuega Alberto,Uusitalo Mikko A.,Valkama Mikko

Funder

Business Finland

Academy of Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9569244/9569245/09569393.pdf?arnumber=9569393

Cited by 8 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. On the Design of Nonlinear Characteristics That Optimize Maximum Likelihood OFDM Performance;IEEE Transactions on Vehicular Technology;2023-12

2. Deep Learning OFDM Receivers for Improved Power Efficiency and Coverage;IEEE Transactions on Wireless Communications;2023-08

3. iDeepRx Enabled 100 Gb/s DFT-s-OFDM Data Transmission Over 220 GHz Testbed;ICC 2023 - IEEE International Conference on Communications;2023-05-28

4. DeepTx: Deep Learning Beamforming With Channel Prediction;IEEE Transactions on Wireless Communications;2023-03

5. The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G;IEEE Access;2023

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