Joint Power Control and User Association for NOMA-Based Full-Duplex Systems

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

Joint Power Control and User Association for NOMA-Based Full-Duplex Systems

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

Dutkiewicz, E

Shin, OS

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2019, 67 (11), pp. 8037 - 8055
Issue Date:: 2019-11-01

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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.available	2021-08-26T19:00:38Z
dc.date.issued	2019-11-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2019, 67 (11), pp. 8037 - 8055	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135130
dc.description.abstract	© 1972-2012 IEEE. This paper investigates the coexistence of non-orthogonal multiple access (NOMA) and full-duplex (FD) to improve both spectral efficiency (SE) and user fairness. In such a scenario, NOMA based on the successive interference cancellation technique is simultaneously applied to both uplink (UL) and downlink (DL) transmissions in an FD system. We consider the problem of jointly optimizing user association (UA) and power control to maximize the overall SE, subject to user-specific quality-of-service and total transmit power constraints. To be spectrally-efficient, we introduce the tensor model to optimize UL users' decoding order and DL users' clustering, which results in a mixed-integer non-convex problem. For practically appealing applications, we first relax the binary variables and then propose two low-complexity designs. In the first design, the continuous relaxation problem is solved using the inner convex approximation framework. Next, we additionally introduce the penalty method to further accelerate the performance of the former design. For a benchmark, we develop an optimal solution based on brute-force search (BFS) over all possible cases of UAs. It is demonstrated in numerical results that the proposed algorithms outperform the conventional FD-based schemes and its half-duplex counterpart, as well as yield data rates close to those obtained by BFS-based algorithm.	en_US
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2019.2933217	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Joint Power Control and User Association for NOMA-Based Full-Duplex Systems	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	67	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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
utslib.copyright.status	open_access	*
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

© 1972-2012 IEEE. This paper investigates the coexistence of non-orthogonal multiple access (NOMA) and full-duplex (FD) to improve both spectral efficiency (SE) and user fairness. In such a scenario, NOMA based on the successive interference cancellation technique is simultaneously applied to both uplink (UL) and downlink (DL) transmissions in an FD system. We consider the problem of jointly optimizing user association (UA) and power control to maximize the overall SE, subject to user-specific quality-of-service and total transmit power constraints. To be spectrally-efficient, we introduce the tensor model to optimize UL users' decoding order and DL users' clustering, which results in a mixed-integer non-convex problem. For practically appealing applications, we first relax the binary variables and then propose two low-complexity designs. In the first design, the continuous relaxation problem is solved using the inner convex approximation framework. Next, we additionally introduce the penalty method to further accelerate the performance of the former design. For a benchmark, we develop an optimal solution based on brute-force search (BFS) over all possible cases of UAs. It is demonstrated in numerical results that the proposed algorithms outperform the conventional FD-based schemes and its half-duplex counterpart, as well as yield data rates close to those obtained by BFS-based algorithm.

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http://hdl.handle.net/10453/135130