面向认知物联网的隐蔽通信智能功率控制

doi:10.11959/j.issn.2096-3750.2020.00148

物联网学报 ›› 2020, Vol. 4 ›› Issue (1): 52-58.doi: 10.11959/j.issn.2096-3750.2020.00148

面向认知物联网的隐蔽通信智能功率控制

李赞¹,廖晓闽^1,²,石嘉¹,肖培³

¹ 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
² 国防科技大学信息通信学院，陕西西安 710106
³ 萨里大学5G创新研发中心，萨里郡吉尔福德 GU2 7XH

修回日期:2020-03-01 出版日期:2020-03-30 发布日期:2020-03-28
作者简介:李赞（1975- ），女，陕西西安人，西安电子科技大学教授、博士生导师，主要研究方向为隐蔽通信、频谱管控|廖晓闽（1984- ），女，江西德兴人，西安电子科技大学博士生，国防科技大学信息通信学院副教授，主要研究方向为频谱管控、隐蔽通信|石嘉（1987- ），男，陕西西安人，博士，西安电子科技大学副教授，主要研究方向为无线系统资源分配、毫米波通信、隐蔽通信等|肖培（1968- ），男，湖北武汉人，英国萨里大学教授、博士生导师，主要研究方向为无线通信理论与信号处理、5G通信关键技术等
基金资助:
国家自然科学基金重点项目(61631015);国家杰出青年科学基金项目(61825104);国家自然科学基金项目(61941105);国家自然科学基金项目(61901327)

Intelligent power control for covert communication in cognitive Internet of things

Zan LI¹,Xiaomin LIAO^1,²,Jia SHI¹,Pei XIAO³

¹ State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China
² School of Information and Communications,National University of Defense Technology,Xi’an 710106,China
³ Home of 5G Innovation Centre,University of Surrey,Guildford GU2 7XH,U.K.

Revised:2020-03-01 Online:2020-03-30 Published:2020-03-28
Supported by:
The Key Project of National Natural Science Foundation of China(61631015);National Natural Science Foundation for Distinguished Young Scholar of China(61825104);National Natural Science Foundation of China(61941105);National Natural Science Foundation of China(61901327)

摘要/Abstract

摘要：

针对认知物联网的安全问题，提出了一种基于生成对抗网络的认知物联网隐蔽通信智能功率控制算法。首先将认知物联网隐蔽通信问题转化为认知物联网用户和窃听者之间的动态博弈问题，然后利用生成器模仿认知物联网用户，利用鉴别器模仿窃听者，两者分别采用3层神经网络构建，并通过二人零和博弈实现学习优化过程，最终达到纳什均衡，获得隐蔽功率控制方案。仿真结果表明，所提出的算法收敛速度快，不仅可以获得近似最优的隐蔽功率控制方案，而且在未来认知物联网中更具有实用性。

关键词: 认知物联网, 隐蔽通信, 生成对抗网络, 功率控制

Abstract:

In order to solve the security problem of cognitive Internet of things (IoT),an intelligent power control algorithm of covert communication in cognitive IoT based on generative adversarial network was proposed.Firstly,the covert communication optimization problem in the cognitive IoT was transformed into a dynamic game between the cognitive IoT user and the eavesdropper.Then,the generator imitated the cognitive IoT user,while the discriminator imitated the eavesdropper.The generator and the discriminator were constructed by the three-layer neural network respectively.Through the two-person zero-sum game,the learning optimization process was realized to achieve the Nash equilibrium,and finally the covert power control scheme was obtained.The simulation results show that the proposed algorithm can not only obtain near-optimal covert power control scheme with rapid convergence ability,but also be more practical in the future cognitive IoT.

Key words: cognitive IoT, covert communication, generative adversarial network, power control

中图分类号:

TN929.5

李赞,廖晓闽,石嘉,肖培. 面向认知物联网的隐蔽通信智能功率控制[J]. 物联网学报, 2020, 4(1): 52-58.

Zan LI,Xiaomin LIAO,Jia SHI,Pei XIAO. Intelligent power control for covert communication in cognitive Internet of things[J]. Chinese Journal on Internet of Things, 2020, 4(1): 52-58.

图/表 5

参考文献 17

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面向认知物联网的隐蔽通信智能功率控制

Intelligent power control for covert communication in cognitive Internet of things

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