Open AccessRobust Secrecy Rate Optimizations for Healthy Monitoring System MISO Channel with D2D Communications
Author(s) -
Xuemeng Jia,
Mingjun Pei,
Rong Fu,
Zhanwei Jiao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1518/1/012079
Subject(s) - computer science , secrecy , beamforming , convexity , mathematical optimization , robustness (evolution) , channel (broadcasting) , secure transmission , robust optimization , transmitter power output , transmission (telecommunications) , communications system , computer network , mathematics , telecommunications , computer security , biochemistry , chemistry , transmitter , financial economics , economics , gene
In this paper, we study the robust secrecy rate optimization of multiple-input-single-output (MISO) security channels with multiple device-to-device (D2D) communication in an electronic physical system for health monitoring applications. We focus on the problems of robust power minimization and maximizing robust secrecy with transmit power in this system. Both of these robust optimizations are subject to probability-based secrecy and D2D transmission rates. The design of robust beamforming can consider combining statistical channel uncertainty model (CUM), but the problem of construction is a non-convexity problem that is not easy to solve, so we propose two methods to solve this problem: based on Bernstein-type inequality and a conservative approximation of S-Procedure . The simulation results demonstrate that the performance of the S-Procedure method on the reachable confidentiality rate is not as good as the method based on the Bernstein-type inequality.