Cell-Free Massive MIMO-NOMA with Optimal Backhaul Combining

Nguyen, TK; Nguyen, HH; Tuan, HD

Cell-Free Massive MIMO-NOMA with Optimal Backhaul Combining

Nguyen, TK Nguyen, HH Tuan, HD

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE), 2021, 00, pp. 1-6
Issue Date:: 2021-02-16

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Field	Value	Language
dc.contributor.author	Nguyen, TK
dc.contributor.author	Nguyen, HH
dc.contributor.author	Tuan, HD
dc.date	2021-01-13
dc.date.accessioned	2022-06-28T04:58:54Z
dc.date.available	2022-06-28T04:58:54Z
dc.date.issued	2021-02-16
dc.identifier.citation	2020 IEEE Eighth International Conference on Communications and Electronics (ICCE), 2021, 00, pp. 1-6
dc.identifier.isbn	978-1-7281-5471-8
dc.identifier.uri	http://hdl.handle.net/10453/158429
dc.description.abstract	This paper studies the uplink (UL) transmission of a cell-free massive multiple-input multiple-output (massive MIMO) system in which multiple base stations (or access points), each equipped with a multiple-antenna array and connected to a central processing unit (CPU) over a backhaul network, simultaneously serve multiple users in a cell-free service area. The paper focuses on the non-orthogonal multiple access (NOMA) approach for sharing pilot sequences among users. Unlike the conventional cell-free massive MIMO-NOMA systems in which the UL signals from different access points are equally combined over the backhaul network, this paper develops an optimal backhaul combining (OBC) method to maximize the UL signal-to-interference-plus-noise ratio (SINR). With the proposed OBC method, a closed-form SINR expression is derived under Rayleigh fading and used to formulate a max-min quality-of-service (QoS) power control problem to further enhance the system performance. Numerical results corroborate the analysis and demonstrate that the proposed optimal backhaul combining method clearly outperforms equal-gain combining.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)
dc.relation.ispartof	IEEE Eighth International Conference on Communications and Electronics
dc.relation.isbasedon	10.1109/icce48956.2021.9352089
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Cell-Free Massive MIMO-NOMA with Optimal Backhaul Combining
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Phu Quoc Island, Vietnam
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
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-06-28T04:58:52Z
pubs.finish-date	2021-01-15
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2021-01-13
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

This paper studies the uplink (UL) transmission of a cell-free massive multiple-input multiple-output (massive MIMO) system in which multiple base stations (or access points), each equipped with a multiple-antenna array and connected to a central processing unit (CPU) over a backhaul network, simultaneously serve multiple users in a cell-free service area. The paper focuses on the non-orthogonal multiple access (NOMA) approach for sharing pilot sequences among users. Unlike the conventional cell-free massive MIMO-NOMA systems in which the UL signals from different access points are equally combined over the backhaul network, this paper develops an optimal backhaul combining (OBC) method to maximize the UL signal-to-interference-plus-noise ratio (SINR). With the proposed OBC method, a closed-form SINR expression is derived under Rayleigh fading and used to formulate a max-min quality-of-service (QoS) power control problem to further enhance the system performance. Numerical results corroborate the analysis and demonstrate that the proposed optimal backhaul combining method clearly outperforms equal-gain combining.

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http://hdl.handle.net/10453/158429