Reference : SLNR-based Secure Energy Efficient Beamforming in Multibeam Satellite Systems

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53238

Title :	SLNR-based Secure Energy Efficient Beamforming in Multibeam Satellite Systems
Language :	English
Author, co-author :	Lin, Zhi []
	An, Kang []
	Niu, Hehao []
	Hu, Yihua []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Zheng, Gan []
	Wang, Jiangzhou []
Publication date :	12-Jul-2022
Journal title :	IEEE Transactions on Aerospace and Electronic Systems
Publisher :	Institute of Electrical and Electronics Engineers (IEEE)
Pages :	1-4
Peer reviewed :	Yes
Audience :	International
ISSN :	0018-9251
e-ISSN :	1557-9603
City :	Piscataway
Country :	United States - New Jersey
Abstract :	[en] Motivated by the fact that both security and energy efficiency are the fundamental requirements and design targets of future satellite communications, this letter investigates secure energy efficient beamforming in multibeam satellite systems, where the satellite user in each beam is surrounded by an eavesdropper attempting to intercept the confidential information. To simul- taneously improve the transmission security and reduce power consumption, our design objective is to maximize the system secrecy energy efficiency (SEE) under the constraint of total transmit power budget. Different from the existing schemes with high complexity, we propose an alternating optimization scheme to address the SEE problem by decomposing the original nonconvex problem into subproblems. Specifically, we first utilize the signal- to-leakage-plus-noise ratio (SLNR) metric to obtain closed-form normalized beamforming weight vectors, while the successive convex approximation (SCA) method is used to efficiently solve the power allocation subproblem. Then, an iterative algorithm is proposed to obtain the suboptimal solutions. Finally, simulation results are provided to verify the superiority of the proposed scheme compared to the benchmark schemes
Permalink :	http://hdl.handle.net/10993/53238
DOI :	10.1109/TAES.2022.3190238
Other URL :	https://ieeexplore.ieee.org/document/9827562/authors#authors

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