Data Augmentation for Deep Receivers

Author:

Raviv Tomer1ORCID,Shlezinger Nir1ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Be’er Sheva, Israel

Funder

Israeli 5G-WIN Consertium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Cited by 5 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. Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels;IEEE Wireless Communications;2024-08

2. A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

3. Modulation Classification Through Convolutional Spiking Neural Networks with Data Fusion;Lecture Notes in Networks and Systems;2024

4. Multi-Modal Beam Selection: A Transfer Methodology for Multi-Frequency;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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