Augmented Envelope Neural Networks on RF-SoC for Digital Self-Interference Cancellation

Augmented Envelope Neural Networks on RF-SoC for Digital Self-Interference Cancellation

This paper addresses the challenge of self-interference in in-band full-duplex radios, which can double the operational bandwidth and wireless channel capacity in 5G New Radio’s sub-6 GHz spectrum. To achieve high isolation between simultaneously transmitted and received signals, the stud...

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Bibliographic Details
Main Authors: Udara De Silva, Hiruni Silva, Arjuna Madanayake
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
IBFD
STAR
digital cancellation
machine learning
neural networks
RF-SoC
Online Access:https://ieeexplore.ieee.org/document/10477995/
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https://ieeexplore.ieee.org/document/10477995/

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