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

Abstract

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
PublisherIEEE
Pages993-997
Number of pages5
ISBN (Print)9781665458283
DOIs
StatePublished - Oct 31 2021

Fingerprint

Dive into the research topics of 'Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems'. Together they form a unique fingerprint.

Cite this