Multi-user MIMO Communications with Interference Mitigation in Time-varying Channels

Zhang, JA; Hoang, L; Nguyen, D; Huang, X; Kekirigoda, A; Hui, KP

Multi-user MIMO Communications with Interference Mitigation in Time-varying Channels

Zhang, JA Hoang, L Nguyen, D Huang, X

Kekirigoda, A Hui, KP

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings, 2020, 00, pp. 1-7
Issue Date:: 2020-12-14

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Field	Value	Language
dc.contributor.author	Zhang, JA
dc.contributor.author	Hoang, L
dc.contributor.author	Nguyen, D
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732
dc.contributor.author	Kekirigoda, A
dc.contributor.author	Hui, KP
dc.date	2020-12-14
dc.date.accessioned	2021-02-21T09:35:44Z
dc.date.available	2021-02-21T09:35:44Z
dc.date.issued	2020-12-14
dc.identifier.citation	2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings, 2020, 00, pp. 1-7
dc.identifier.isbn	9781728199726
dc.identifier.uri	http://hdl.handle.net/10453/146245
dc.description.abstract	© 2020 IEEE. In this paper, we present a technique for realizing reliable multi-user MIMO communications in the presence of interference in time-varying channels. The null space of interfering channels is estimated and exploited for interference mitigation. We first introduce an improved superframe structure to enable frequent tracking of user channels and the null space of interfering channels. The different natures of the received user signals and interference require different processing methods. We improve and compare several adaptive equalizers to deal with time-varying user channels, and propose to use a subspace-based tracking algorithm to handle time-varying interfering channels. We simulate the proposed tracking algorithms in various settings, including when the interference signals are correlated. Simulation results are provided and validate the effectiveness of the proposed technique.
dc.language	en
dc.publisher	IEEE
dc.relation	Defence Science and Technology Group of the Department of Defence8327
dc.relation.ispartof	2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings
dc.relation.ispartof	2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
dc.relation.isbasedon	10.1109/ICSPCS50536.2020.9310055
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Multi-user MIMO Communications with Interference Mitigation in Time-varying Channels
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-02-03T00:00:00+1000Z
dc.date.updated	2021-02-21T09:35:35Z
pubs.finish-date	2020-12-16
pubs.publication-status	Published
pubs.start-date	2020-12-14
pubs.volume	00

Abstract:

© 2020 IEEE. In this paper, we present a technique for realizing reliable multi-user MIMO communications in the presence of interference in time-varying channels. The null space of interfering channels is estimated and exploited for interference mitigation. We first introduce an improved superframe structure to enable frequent tracking of user channels and the null space of interfering channels. The different natures of the received user signals and interference require different processing methods. We improve and compare several adaptive equalizers to deal with time-varying user channels, and propose to use a subspace-based tracking algorithm to handle time-varying interfering channels. We simulate the proposed tracking algorithms in various settings, including when the interference signals are correlated. Simulation results are provided and validate the effectiveness of the proposed technique.

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http://hdl.handle.net/10453/146245