Frequency-domain characterization and performance bounds of ALMS loop for RF self-interference cancellation

Le, AT; Tran, LC; Huang, X; Jay Guo, Y; Vardaxoglou, JYC

Frequency-domain characterization and performance bounds of ALMS loop for RF self-interference cancellation

Le, AT

Tran, LC Huang, X

Jay Guo, Y

Vardaxoglou, JYC

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2019, 67 (1), pp. 682 - 692
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Le, AT https://orcid.org/0000-0002-9229-4557	en_US
dc.contributor.author	Tran, LC	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Jay Guo, Y https://orcid.org/0000-0001-6008-9682	en_US
dc.contributor.author	Vardaxoglou, JYC	en_US
dc.date.available	2020-08-28T19:04:33Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2019, 67 (1), pp. 682 - 692	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128196
dc.description.abstract	© 1972-2012 IEEE. Analog least mean square (ALMS) loop is a promising method to cancel self-interference (SI) in in-band full-duplex (IBFD) systems. In this paper, the steady state analyses of the residual SI powers in both analog and digital domains are firstly derived. The eigenvalue decomposition is then utilized to investigate the frequency domain characteristics of the ALMS loop. Our frequency domain analyses prove that the ALMS loop has an effect of amplifying the frequency components of the residual SI at the edges of the signal spectrum in the analog domain. However, the matched filter in the receiver chain will reduce this effect, resulting in a significant improvement of the interference suppression ratio (ISR). It means that the SI will be significantly suppressed in the digital domain before information data detection. This paper also derives the lower bounds of ISRs given by the ALMS loop in both analog and digital domains. These lower bounds are joint effects of the loop gain, tap delay, number of taps, and transmitted signal properties. The discovered relationship among these parameters allows the flexibility in choosing appropriate parameters when designing the IBFD systems under given constraints.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160101693
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2018.2867514	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Frequency-domain characterization and performance bounds of ALMS loop for RF self-interference cancellation	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	67	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0804 Data Format	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

© 1972-2012 IEEE. Analog least mean square (ALMS) loop is a promising method to cancel self-interference (SI) in in-band full-duplex (IBFD) systems. In this paper, the steady state analyses of the residual SI powers in both analog and digital domains are firstly derived. The eigenvalue decomposition is then utilized to investigate the frequency domain characteristics of the ALMS loop. Our frequency domain analyses prove that the ALMS loop has an effect of amplifying the frequency components of the residual SI at the edges of the signal spectrum in the analog domain. However, the matched filter in the receiver chain will reduce this effect, resulting in a significant improvement of the interference suppression ratio (ISR). It means that the SI will be significantly suppressed in the digital domain before information data detection. This paper also derives the lower bounds of ISRs given by the ALMS loop in both analog and digital domains. These lower bounds are joint effects of the loop gain, tap delay, number of taps, and transmitted signal properties. The discovered relationship among these parameters allows the flexibility in choosing appropriate parameters when designing the IBFD systems under given constraints.

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http://hdl.handle.net/10453/128196