Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems

Chung An Shen, Mohammed E. Fouda, Hsi Hung Lu, Ahmed Eltawil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


This paper presents a self-interference cancellation approach for a MIMO in-band full-duplex system based on blind source separation (BSS). Specifically, the proposed approach consists of a BSS stage followed by a MIMO detection stage. BSS suppresses the interference from the transmit chain whereas the MIMO detection removes the interference caused by the wireless channel. Furthermore, this paper presents a technique that can improve the performance of the BSS by mitigating the effects of nonlinearity. The detailed analyses and experimental results verify the suppression of interference by the proposed scheme.
Original languageEnglish (US)
Title of host publication2021 55th Asilomar Conference on Signals, Systems, and Computers
Number of pages5
ISBN (Print)9781665458283
StatePublished - Oct 31 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-04-14
Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation, US under award number 1710746.


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