Interference Suppression Using Deep Learning: Current Approaches and Open Challenges

Interference Suppression Using Deep Learning: Current Approaches and Open Challenges

In light of the finite nature of the wireless spectrum and the increasing demand for spectrum use arising from recent technological breakthroughs in wireless communication, the problem of interference continues to persist. Despite recent advancements in resolving interference issues, interference st...

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Bibliographic Details
Main Authors: Taiwo Oyedare, Vijay K. Shah, Daniel J. Jakubisin, Jeffrey H. Reed
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
interference suppression
convolutional neural networks
autoencoders
neural networks
recurrent neural networks
Online Access:https://ieeexplore.ieee.org/document/9802083/

Internet

https://ieeexplore.ieee.org/document/9802083/

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