A novel spectral-efficient resource allocation approach for NOMA-based full-duplex systems

Nguyen, HV; Nguyen, VD; Dobre, OA; Nguyen, DN; Dutkiewicz, E; Shin, OS

A novel spectral-efficient resource allocation approach for NOMA-based full-duplex systems

Nguyen, HV Nguyen, VD Dobre, OA Nguyen, DN

Dutkiewicz, E

Shin, OS

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Publication Type:: Conference Proceeding
Citation:: 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, 2019
Issue Date:: 2019-12-01

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Field	Value	Language
dc.contributor.author	Nguyen, HV	en_US
dc.contributor.author	Nguyen, VD	en_US
dc.contributor.author	Dobre, OA	en_US
dc.contributor.author	Nguyen, DN https://orcid.org/0000-0003-2659-8648	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Shin, OS	en_US
dc.date.issued	2019-12-01	en_US
dc.identifier.citation	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, 2019	en_US
dc.identifier.isbn	9781728109626	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135138
dc.description.abstract	© 2019 IEEE. This paper investigates the coexistence of non- orthogonal multiple access (NOMA) and full-duplex (FD), where the NOMA successive interference cancellation technique is applied simultaneously to both uplink (UL) and downlink (DL) transmissions in the same time-frequency resource block. Specifically, we jointly optimize the user association (UA) and power control to maximize the overall sum rate, subject to user-specific quality-of-service and total transmit power constraints. To be spectrally-efficient, we introduce the tensor model to optimize the UL users' decoding order and the DL users' clustering, which results in a mixed-integer non- convex problem. For solving this problem, we first relax the binary variables to be continuous, and then propose a low-complexity design based on the combination of the inner convex approximation framework and the penalty method. Numerical results show that the proposed algorithm significantly outperforms the conventional FD-based schemes, FD-NOMA and its half-duplex counterpart with random UA.	en_US
dc.relation.ispartof	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GLOBECOM38437.2019.9013457	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A novel spectral-efficient resource allocation approach for NOMA-based full-duplex systems	en_US
dc.type	Conference Proceeding
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
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-12-25T00:00:00+1100
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. This paper investigates the coexistence of non- orthogonal multiple access (NOMA) and full-duplex (FD), where the NOMA successive interference cancellation technique is applied simultaneously to both uplink (UL) and downlink (DL) transmissions in the same time-frequency resource block. Specifically, we jointly optimize the user association (UA) and power control to maximize the overall sum rate, subject to user-specific quality-of-service and total transmit power constraints. To be spectrally-efficient, we introduce the tensor model to optimize the UL users' decoding order and the DL users' clustering, which results in a mixed-integer non- convex problem. For solving this problem, we first relax the binary variables to be continuous, and then propose a low-complexity design based on the combination of the inner convex approximation framework and the penalty method. Numerical results show that the proposed algorithm significantly outperforms the conventional FD-based schemes, FD-NOMA and its half-duplex counterpart with random UA.

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http://hdl.handle.net/10453/135138