University of Oulu

V. Tapio and M. Juntti, "Non-Linear Self-Interference Cancelation for Full-Duplex Transceivers Based on Hammerstein-Wiener Model," in IEEE Communications Letters, vol. 25, no. 11, pp. 3684-3688, Nov. 2021, doi: 10.1109/LCOMM.2021.3109669

Non-linear self-interference cancelation for full-duplex transceivers based on Hammerstein-Wiener model

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Author: Tapio, Visa1; Juntti, Markku1
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Oulu, FINLAND
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-11-17


The main challenge in a full-duplex transceiver design is created by the self-interference caused by the coupling of the transmitted signal to the transceiver’s own receiver. The effect of the non-linear operation of both the power amplifier at the transmitter and the low noise amplifier at the receiver are considered in the self-interference cancelation. The performance of three self-interference cancelers are studied: linear cancelation, auto-regressive moving-average (ARMA) based cancelation and a neural network (NN) based canceler. The NN based cancelation outperforms both the linear and ARMA based canceler but requires considerably more operations than the other two.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 25
Issue: 11
Pages: 3684 - 3688
DOI: 10.1109/LCOMM.2021.3109669
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research is part of the Academy of Finland 6Genesis Flagship (grant 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2021 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see