A Soft Interference Cancellation Inspired Neural Network for SC-FDE

Author:

Baumgartner Stefan1,Lang Oliver2,Huemer Mario1

Affiliation:

1. Johannes Kepler University,JKU LIT SAL eSPML Lab,Linz,Austria

2. Johannes Kepler University,Institute of Signal Processing,Linz,Austria

Publisher

IEEE

Reference15 articles.

1. Receiver structures for MIMO-SC/FDE Systems

2. Deep unfolding: Model-based inspiration of novel deep architectures;hershey,2014

3. Going deeper with convolutions

4. Criteria for 2.4 GHz PHY Comparison of Modulation;fakatselis;IEEE Document,1997

5. Adam: A Method for Stochastic Optimization;kingma,2014

Cited by 3 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. ICI Mitigation Based on CIR Interpolation for Wideband SC-FDE System with High-order Modulation in Dynamic Scenario;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

3. Data Augmentation for Deep Receivers;IEEE Transactions on Wireless Communications;2023-11

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