基于无线供能反向散射通信系统安全性的稳健机会约束优化算法设计

doi:10.11959/j.issn.1000-436x.2021048

Abstract

Abstract:

For the channel uncertainty and security problems in wireless powered backscatter communication (WPBC) system, a robust chance-constrained optimization algorithm was proposed.Firstly, an optimization problem was established to maximize the minimum transmission rate of the system based on channel uncertainty considering eavesdropping data transmission rate constraints, minimum energy collection constraints and device reflectivity constraints.In order to solve the problem, the original uncertainty problem was transformed into a deterministic optimization problem by using the security approximation method based on Bernstein inequality.Then, combining the properties of inequality, the corresponding auxiliary variables were introduced to transform the deterministic optimization problem into a convex optimization problem, and the standard convex optimization algorithm was used to solve the problem.Finally, the simulation results show the effectiveness of the proposed algorithm.

Key words: wireless powered backscatter communication, Internet of things, security, robust optimization, Bernstein-type-inequality

CLC Number:

TN929

Wanming HAO, Jinkun XIE, Gangcan SUN, Zhengyu ZHU, Yiqing ZHOU. Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system[J]. Journal on Communications, 2021, 42(3): 100-110.

Figures/Tables 7

参数	含义
w	AP发射的载波信号
α	用户的反射率
s	用户的发射信号
n_r	AP端背景噪声
n_t	用户端背景噪声
n_e	窃听者端背景噪声
E_H	用户收集到的能量
E_C	用户消耗的能量
p	AP发射功率
η	能量收集效率系数
R_r	用户的数据传输速率
$R_{r}^{\min}$	用户需求的最小数据传输速率
R_e	窃听者的数据传输速率
$R_{e}^{\max}$	所允许的窃听者最大传输速率
C	系统保密率
h_rt	AP到用户的通信链路
h_tr	用户到AP的通信链路
h_re	AP到窃听者的通信链路
h_te	用户到窃听者的通信链路
y_r	AP端接收到的信号
y_e	窃听者端接收到的信号
r_r	AP端的信干噪比
r_e	窃听者端的信干噪比

References 32

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