Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks With Covert Communications

Hieu, NQ; Hoang, DT; Niyato, D; Nguyen, DN; Kim, DI; Jamalipour, A

Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks With Covert Communications

Hieu, NQ Hoang, DT Niyato, D Nguyen, DN Kim, DI Jamalipour, A

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2023, 71, (4), pp. 2274-2287
Issue Date:: 2023-04-01

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Field	Value	Language
dc.contributor.author	Hieu, NQ
dc.contributor.author	Hoang, DT
dc.contributor.author	Niyato, D
dc.contributor.author	Nguyen, DN
dc.contributor.author	Kim, DI
dc.contributor.author	Jamalipour, A
dc.date.accessioned	2023-08-27T08:30:31Z
dc.date.available	2023-08-27T08:30:31Z
dc.date.issued	2023-04-01
dc.identifier.citation	IEEE Transactions on Communications, 2023, 71, (4), pp. 2274-2287
dc.identifier.issn	0090-6778
dc.identifier.issn	1558-0857
dc.identifier.uri	http://hdl.handle.net/10453/171829
dc.description.abstract	Rate Splitting Multiple Access (RSMA) has recently emerged as a promising technique to enhance the transmission rate for multiple access networks. Unlike conventional multiple access schemes, RSMA requires splitting and transmitting messages at different rates. The joint optimization of the power allocation and rate control at the transmitter is challenging given the uncertainty and dynamics of the environment. Furthermore, securing transmissions in RSMA networks is a crucial problem because the messages transmitted can be easily exposed to adversaries. This work first proposes a stochastic optimization framework that allows the transmitter to adaptively adjust its power and transmission rates allocated to users, and thereby maximizing the sum-rate and fairness of the system under the presence of an adversary. We then develop a highly effective learning algorithm that can help the transmitter to find the optimal policy without requiring complete information about the environment in advance. Extensive simulations show that our proposed scheme can achieve non-saturated transmission rates at high SNR values with infinite blocklength. More significantly, our proposed scheme can achieve positive covert transmission rates in the finite blocklength regime, compared with zero-valued covert rates of a conventional multiple access scheme.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://purl.org/au-research/grants/arc/DE210100651
dc.relation.ispartof	IEEE Transactions on Communications
dc.relation.isbasedon	10.1109/TCOMM.2023.3242670
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0804 Data Format, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.subject.classification	4606 Distributed computing and systems software
dc.title	Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks With Covert Communications
dc.type	Journal Article
utslib.citation.volume	71
utslib.for	0804 Data Format
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
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/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
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2025-03-03T00:00:00+1000Z
dc.date.updated	2023-08-27T08:30:24Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	71
utslib.citation.issue	4

Abstract:

Rate Splitting Multiple Access (RSMA) has recently emerged as a promising technique to enhance the transmission rate for multiple access networks. Unlike conventional multiple access schemes, RSMA requires splitting and transmitting messages at different rates. The joint optimization of the power allocation and rate control at the transmitter is challenging given the uncertainty and dynamics of the environment. Furthermore, securing transmissions in RSMA networks is a crucial problem because the messages transmitted can be easily exposed to adversaries. This work first proposes a stochastic optimization framework that allows the transmitter to adaptively adjust its power and transmission rates allocated to users, and thereby maximizing the sum-rate and fairness of the system under the presence of an adversary. We then develop a highly effective learning algorithm that can help the transmitter to find the optimal policy without requiring complete information about the environment in advance. Extensive simulations show that our proposed scheme can achieve non-saturated transmission rates at high SNR values with infinite blocklength. More significantly, our proposed scheme can achieve positive covert transmission rates in the finite blocklength regime, compared with zero-valued covert rates of a conventional multiple access scheme.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/171829