Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system

Wanming HAO; Jinkun XIE; Gangcan SUN; Zhengyu ZHU; Yiqing ZHOU

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

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Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system

Papers | 更新时间：2024-06-05

- Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system
- Journal on Communications Vol. 42, Issue 3, Pages: 100-110(2021)
- 作者机构：
  
  1. 郑州大学河南先进技术研究院，河南郑州 450003
  2. 郑州大学信息工程学院，河南郑州 450001
  3. 郑州大学产业技术研究院，河南郑州 450001
  4. 中国科学院大学计算技术研究所，北京 100049
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61801434);The Innovation Demonstration Project of Henan Province(201111212300);Major Science and Technology Innovation Project of Zhengzhou(2019CXZX0037)
- DOI：10.11959/j.issn.1000-436x.2021048
  CLC： TN929
- Online First：2021-03，
  
  Published：25 March 2021
- 稿件说明：
移动端阅览
Wanming HAO, Jinkun XIE, Gangcan SUN, et al. Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system[J]. Journal on Communications, 2021, 42(3): 100-110.
DOI：

Wanming HAO, Jinkun XIE, Gangcan SUN, et al. Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system[J]. Journal on Communications, 2021, 42(3): 100-110. DOI： 10.11959/j.issn.1000-436x.2021048.

摘要

针对无线供能反向散射通信系统中信道不确定性以及安全性问题，提出一种考虑系统安全性的稳健机会约束优化算法。首先，在考虑窃听数据传输速率约束、最小能量收集约束和设备反射率约束条件下，建立一个基于信道不确定性的最大化系统传输速率最小值的优化问题。为求解该问题，应用基于伯恩斯坦型不等式的安全近似方法，将原不确定性问题转换为确定性优化问题。然后，结合不等式的性质，引入相应的辅助变量，将确定性优化问题转换为凸优化问题，并利用标准的凸优化算法进行求解。最后，仿真结果表明了所提算法的有效性。

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.

关键词

Keywords

references

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