access icon free Secure beamforming method for artificial-noise-aided multiuser broadcast system with users of different importance under secrecy outage probability constraint

© The Institution of Engineering and Technology
Received 16/03/2020, Accepted 03/09/2020, Revised 27/07/2020, Published 09/09/2020

In this study, the authors proposed the optimal beamforming (BF) design for multiuser broadcast secure transmission under secrecy outage probability constraint with artificial noise technique. Different from former research papers, their model assumes that different users have different priority and importance. Some users are regarded as main users with a stricter constraint, which make the normal BF algorithm not to gain the best performance. For this reason, they proposed a new BF design method for this specific system model. To deal with intractable non-convex problems, they employed a series of optimisation algorithm like Bernstein-type inequality and second-order cone constraints method to transform these problems into solvable functions. After that, they show the feasibility of their new BF algorithm by Monte-Carlo simulation method, and analyse the influence on transmission and security performance caused by different system parameters. Furthermore, they compare the security performance of their method with the normal BF method, which demonstrates the advantage of the new BF method.

Inspec keywords: concave programming; Monte Carlo methods; telecommunication security; array signal processing; convex programming; probability; multi-access systems; broadcast communication

Other keywords: specific system model; security performance; secrecy outage probability constraint; normal BF method; optimal beamforming design; secure beamforming method; optimisation algorithm; artificial noise technique; Monte-Carlo simulation method; normal BF algorithm; nonconvex problems; second-order cone constraints method; multiuser broadcast secure transmission; artificial-noise-aided multiuser broadcast system; stricter constraint; BF design method

Subjects: Monte Carlo methods; Multiple access communication; Radio links and equipment; Signal processing and detection; Optimisation techniques

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