Reference : Secure Energy Efficiency Maximization in Cognitive Satellite-Terrestrial Networks
Scientific journals : Article
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/47441
Secure Energy Efficiency Maximization in Cognitive Satellite-Terrestrial Networks
English
Lu, Weixin []
An, Kang []
Liang, Tao []
Zheng, Gan []
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Jun-2021
IEEE Systems Journal
Institute of Electrical and Electronics Engineers
15
2
2382 - 2385
Yes
1932-8184
1937-9234
NY
[en] This article investigates the secure energy efficiency (EE) optimization problem in a cognitive satellite-terrestrial network with a capable eavesdropper. The objective is to maximize the secure EE for the primary satellite network while satisfying the allowable signal-to-interference-plus-noise ratio requirements of the secondary and primary users along within the transmit power limitation of both satellite and the terrestrial base station. Owing to the nonconvexity and intractability of the original optimization problem, a beamforming scheme and associated transformation algorithms are proposed by jointly applying the Taylor approximation, fraction programming, and alternating search to cope with the implementation difficulty. The key is to convert the original optimization problem into a simple convex framework and obtain the optimal solution step by step. Finally, numerical simulations are given to verify the feasibility and practicability of the proposed optimization algorithms.
http://hdl.handle.net/10993/47441
10.1109/JSYST.2020.2980049
https://ieeexplore.ieee.org/document/9050832

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