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

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

doi:10.1109/IEEECONF53345.2021.9723193

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

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

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 language	English (US)
Title of host publication	2021 55th Asilomar Conference on Signals, Systems, and Computers
Publisher	IEEE
Pages	993-997
Number of pages	5
ISBN (Print)	9781665458283
DOIs	https://doi.org/10.1109/IEEECONF53345.2021.9723193
State	Published - 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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10.1109/IEEECONF53345.2021.9723193

Cite this

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title = "Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems",

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.",

author = "Shen, {Chung An} and Fouda, {Mohammed E.} and Lu, {Hsi Hung} and Ahmed Eltawil",

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.",

year = "2021",

month = oct,

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doi = "10.1109/IEEECONF53345.2021.9723193",

language = "English (US)",

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TY - GEN

T1 - Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems

AU - Shen, Chung An

AU - Fouda, Mohammed E.

AU - Lu, Hsi Hung

AU - Eltawil, Ahmed

N1 - KAUST Repository Item: Exported on 2022-04-14 Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation, US under award number 1710746.

PY - 2021/10/31

Y1 - 2021/10/31

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/676243

UR - https://ieeexplore.ieee.org/document/9723193/

UR - http://www.scopus.com/inward/record.url?scp=85127063291&partnerID=8YFLogxK

U2 - 10.1109/IEEECONF53345.2021.9723193

DO - 10.1109/IEEECONF53345.2021.9723193

M3 - Conference contribution

SN - 9781665458283

SP - 993

EP - 997

BT - 2021 55th Asilomar Conference on Signals, Systems, and Computers

PB - IEEE

ER -

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

Abstract

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