Article (Scientific journals)
SLNR-based Secure Energy Efficient Beamforming in Multibeam Satellite Systems
Lin, Zhi; An, Kang; Niu, Hehao et al.
2022In IEEE Transactions on Aerospace and Electronic Systems, p. 1-4
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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
Disciplines :
Computer science
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
External co-authors :
yes
Language :
English
Title :
SLNR-based Secure Energy Efficient Beamforming in Multibeam Satellite Systems
Publication date :
12 July 2022
Journal title :
IEEE Transactions on Aerospace and Electronic Systems
ISSN :
1557-9603
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), Piscataway, United States - New Jersey
Pages :
1-4
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Available on ORBilu :
since 19 December 2022

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