Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems

Yuan, C; Tao, X; Ni, W; Li, N; Jamalipour, A; Liu, RP

Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems

Yuan, C Tao, X Ni, W

Li, N Jamalipour, A Liu, RP

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2021, 70, (2), pp. 1332-1346
Issue Date:: 2021-02-01

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Field	Value	Language
dc.contributor.author	Yuan, C
dc.contributor.author	Tao, X
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	Li, N
dc.contributor.author	Jamalipour, A
dc.contributor.author	Liu, RP
dc.date.accessioned	2022-03-21T04:21:35Z
dc.date.available	2022-03-21T04:21:35Z
dc.date.issued	2021-02-01
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2021, 70, (2), pp. 1332-1346
dc.identifier.issn	0018-9545
dc.identifier.issn	1939-9359
dc.identifier.uri	http://hdl.handle.net/10453/155413
dc.description.abstract	Superposition coding allows secret messages to be delivered stealthily on top of legacy signals. The effective allocation of the limited transmit power at a transmitter is critical to serve the data rate request of a legacy (untrusted) receiver while accomplishing the stealthy and secure transmissions of secret messages to a trusted receiver, which is challenging under OFDM settings due to the non-convexity of the secrecy rate. This paper presents a new iterative algorithm, which optimizes the allocation of the transmit power across the OFDM subcarriers to minimize the transmit power, subject to the data rate request of the (legacy) untrusted receiver and the required secrecy rate of the trusted receiver. The algorithm can also maximize the secrecy rate of the trusted receiver, subject to the data rate request of the untrusted receiver and the total transmit power. In particular, the proposed algorithm decouples the power allocations between the trusted and untrusted receivers. Semi-closed-form solutions are established for the powers, and can be alternately analyzed until convergence with local optimality. Corroborated by simulations, the proposed techniques outperform existing alternatives in terms of power saving and achievable secrecy rate. As the untrusted receiver moves further away from the transmitter, the number of subcarriers carrying superposed signals increases and the secret messages can be delivered unnoticed.
dc.language	English
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Transactions on Vehicular Technology
dc.relation.isbasedon	10.1109/tvt.2021.3051501
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Automobile Design & Engineering
dc.title	Optimal Power Allocation for Superposed Secrecy Transmission in Multicarrier Systems
dc.type	Journal Article
utslib.citation.volume	70
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
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	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-03-21T04:21:34Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	70
utslib.citation.issue	2

Abstract:

Superposition coding allows secret messages to be delivered stealthily on top of legacy signals. The effective allocation of the limited transmit power at a transmitter is critical to serve the data rate request of a legacy (untrusted) receiver while accomplishing the stealthy and secure transmissions of secret messages to a trusted receiver, which is challenging under OFDM settings due to the non-convexity of the secrecy rate. This paper presents a new iterative algorithm, which optimizes the allocation of the transmit power across the OFDM subcarriers to minimize the transmit power, subject to the data rate request of the (legacy) untrusted receiver and the required secrecy rate of the trusted receiver. The algorithm can also maximize the secrecy rate of the trusted receiver, subject to the data rate request of the untrusted receiver and the total transmit power. In particular, the proposed algorithm decouples the power allocations between the trusted and untrusted receivers. Semi-closed-form solutions are established for the powers, and can be alternately analyzed until convergence with local optimality. Corroborated by simulations, the proposed techniques outperform existing alternatives in terms of power saving and achievable secrecy rate. As the untrusted receiver moves further away from the transmitter, the number of subcarriers carrying superposed signals increases and the secret messages can be delivered unnoticed.

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http://hdl.handle.net/10453/155413