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  4. Design and Implementation of a Neural Network Aided Self Interference Cancellation Scheme for Full-Duplex Radios
 
conference paper

Design and Implementation of a Neural Network Aided Self Interference Cancellation Scheme for Full-Duplex Radios

Kurzo, Yann  
•
Burg, Andreas  
•
Balatsoukas-Stimming, Alexios  
January 1, 2018
2018 Conference Record Of 52Nd Asilomar Conference On Signals, Systems, And Computers
52nd Asilomar Conference on Signals, Systems, and Computers

In-band full-duplex systems are able to transmit and receive information simultaneously on the same frequency band. Due to the strong self-interference caused by the transmitter to its own receiver, the use of non-linear digital self interference cancellation is essential. In this work, we present a hardware architecture for a neural network based non-linear self-interference canceller and we compare it with our own hardware implementation of a conventional polynomial based canceller. We show that, for the same cancellation performance, the neural network canceller has a significantly higher throughput and requires fewer hardware resources.

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