Design and Implementation of a Neural Network Aided Self Interference Cancellation Scheme for Full-Duplex Radios
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.
WOS:000467845100103
2018-01-01
978-1-5386-9218-9
New York
Conference Record of the Asilomar Conference on Signals Systems and Computers
589
593
REVIEWED
Event name | Event place | Event date |
Pacific Grove, CA | Oct 28-Nov 01, 2018 | |