Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks

Abstract

Full-duplex systems require very strong self-interference cancellation in order to operate correctly and a significant portion of the self-interference signal is due to non-linear effects created by various transceiver impairments. As such, linear cancellation alone is usually not sufficient and sophisticated non-linear cancellation algorithms have been… (More)

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Cite this paper

@article{BalatsoukasStimming2017NonLinearDS, title={Non-Linear Digital Self-Interference Cancellation for In-Band Full-Duplex Radios Using Neural Networks}, author={Alexios Balatsoukas-Stimming}, journal={CoRR}, year={2017}, volume={abs/1711.00379} }