Hierarchical game based spectrum access optimization for anti-jamming in UAV network

Chaoqiong FAN; Chenglin ZHAO; Bin LI

doi:10.11959/j.issn.1000-436x.2020114

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Hierarchical game based spectrum access optimization for anti-jamming in UAV network

Papers | 更新时间：2024-06-05

- Hierarchical game based spectrum access optimization for anti-jamming in UAV network
- Journal on Communications Vol. 41, Issue 6, Pages: 26-33(2020)
- 作者机构：
  
  北京邮电大学信息与通信工程学院，北京 100876
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(U1805262);The National Natural Science Foundation of China(61971050)
- DOI：10.11959/j.issn.1000-436x.2020114
  CLC： TN92
- Online First：2020-06，
  
  Published：25 June 2020
- 稿件说明：
移动端阅览
Chaoqiong FAN, Chenglin ZHAO, Bin LI. Hierarchical game based spectrum access optimization for anti-jamming in UAV network[J]. Journal on Communications, 2020, 41(6): 26-33.
DOI：

Chaoqiong FAN, Chenglin ZHAO, Bin LI. Hierarchical game based spectrum access optimization for anti-jamming in UAV network[J]. Journal on Communications, 2020, 41(6): 26-33. DOI： 10.11959/j.issn.1000-436x.2020114.

摘要

针对无人机通信网络中的干扰对抗问题，提出了一种基于分层博弈的自适应频谱接入优化机制。考虑到无人机网络节点的动态特性，将干扰器视为分层博弈领导者，无人机用户视为分层博弈跟随者，不同层级间博弈参与者具有不同的效应函数，采用斯坦伯格均衡分析所构建的博弈并证明了均衡解的存在性和唯一性。在此基础上设计一种分层信道选择学习算法来求解博弈的均衡解，并分析其收敛性能。仿真表明，所提算法能使网络节点智能地调整信道选择策略，从而获得良好的吞吐量性能。

Abstract

For the anti-jamming spectrum access optimization problem in unmanned aerial vehicle (UAV) communication networks

considering the complex and diverse malicious jamming from jammers

a Bayesian Stackelberg game was proposed to formulate the competitive relations between UAV users and jammers.Specifically

jammers acted as the leader

whereas users acted as followers of the proposed game.Based on their different utility functions

the jammer and users independently and selfishly selected their optimal strategies and obtained the optimal channels selection.Due to the NP-hard nature

it was challenging to obtain the Stackelberg Equilibrium of the proposed game.To this end

a hierarchical learning framework was formulated

and a hierarchical channel selection-learning algorithm was proposed.Simulations demonstrate that with the proposed hierarchical learning algorithm

UAV nodes can adjust their channel selection and obtain superior performance.

关键词

Keywords

references

GUPTA L , JAIN R , VASZKUN G . Survey of important issues in UAVcommunication networks [J ] . IEEE Communications Surveys ＆ Tutorials , 2015 , 18 ( 2 ): 1123 - 1152 .

沈旭 . 作为空中基站的无人机覆盖与资源分配研究 [D ] . 北京:北京邮电大学 , 2018 .

SHEN X . Research on UAV coverage and resource allocation as air base station [D ] . Beijing:Beijing University of Posts and Telecommu-nications , 2018 .

ZOU Y , ZHU J , WANG X , et al . A survey on wireless security:technical challenges,recent advances,and future trends [J ] . Proceedings of the IEEE , 2016 , 104 ( 9 ): 1727 - 1765 .

张建英 . 博弈论的发展及其在现实中的应用 [J ] . 理论探索 , 2005 , 2 ( 3 ): 36 - 37 .

ZHANG J Y . Game theory and its application [J ] . Theory Exploration , 2005 , 2 ( 3 ): 36 - 37 .

XIAO L , LIU J , LI Q , et al . User-centric view of jamming games in cognitive radio networks [J ] . IEEE Transactions on Information Forensics and Security , 2015 , 10 ( 12 ): 2578 - 2590 .

JIA L , YAO F , SUN Y , et al . A hierarchical learning solution for anti-jamming Stackelberg game with discrete power strategies [J ] . IEEE Wireless Communications Letters , 2017 , 6 ( 6 ): 818 - 821 .

LI Y , XIAO L , LIU J , et al . Power control stackelberg game in cooperative anti-jamming communications [C ] // The 2014 5th International Conference on Game Theory for Networks . Piscataway:IEEE Press , 2014 : 1 - 6 .

WANG B , WU Y , LIU K J R , et al . An anti-jamming stochastic game for cognitive radio networks [J ] . IEEE Journal on Selected Areas in Communications , 2011 , 29 ( 4 ): 877 - 889 .

JIA L , YAO F , SUN Y , et al . Bayesian Stackelberg game for antijamming transmission with incomplete information [J ] . IEEE Communications Letters , 2016 , 20 ( 10 ): 1991 - 1994 .

YANG D , XUE G , ZHANG J , et al . Coping with a smart jammer in wireless networks:a Stackelberg game approach [J ] . IEEE Transactions on Wireless Communications , 2013 , 12 ( 8 ): 4038 - 4047 .

MACHUZAK S , JAYAWEERA S K . Reinforcement learning based anti-jamming with wideband autonomous cognitive radios [C ] // 2016 IEEE/CIC International Conference on Communications . Piscataway:IEEE Press , 2016 : 1 - 5 .

AREF M A , JAYAWEERA S K , MACHUZAK S . Multi-agent reinforcement learning based cognitive anti-jamming [C ] // 2017 IEEE Wireless Communications and Networking Conference . Piscataway:IEEE Press , 2017 : 1 - 6 .

HANAWAL M K , ABDEL-RAHMAN M J , KRUNZ M . Joint adaptation of frequency hopping and transmission rate for anti-jamming wireless systems [J ] . IEEE Transactions on Mobile Computing , 2015 , 15 ( 9 ): 2247 - 2259 .

SAGDUYU Y E , BERRY R A , EPHREMIDES A . Jamming games in wireless networks with incomplete information [J ] . IEEE Communications Magazine , 2011 , 49 ( 8 ): 112 - 118 .

王学婷 , 朱琦 . 分层异构网络中基于斯坦克尔伯格博弈的资源分配算法 [J ] . 信号处理 , 2017 , 33 ( 2 ): 168 - 177 .

WANG X T , ZHU Q . Stackelberg game based resource allocation in hierarchical heterogeneous networks [J ] . Signal Processing , 2017 , 33 ( 2 ): 168 - 177 .

ROSE N J B . Existence and uniqueness of equilibrium points for concave n-person games [J ] . Journal of the Econometric Society , 1965 : 520 - 534 .

DING G , WU Q , WANG J . Sensing confidence level-based joint spectrum and power allocation in cognitive radio networks [J ] . Wireless Personal Communications , 2013 , 72 ( 1 ): 283 - 298 .

高阳 , 陈世福 , 陆鑫 . 强化学习研究综述 [J ] . 自动化学报 , 2004 , 30 ( 1 ): 86 - 100 .

GAO Y , CHEN S F , LU X . A survey of reinforcement learning [J ] . Journal of Automation , 2004 , 30 ( 1 ): 86 - 100 .

FAN C , LI B , ZHAO C , et al . Learning-based spectrum sharing and spatial reuse in mm-wave ultra-dense networks [J ] . IEEE Transactions on Vehicular Technology , 2017 , 67 ( 6 ): 4954 - 4968 .

SUN Y , SHAO H , LIU X , et al . Traffic offloading in two-tier multi-mode small cell networks over unlicensed bands:a hierarchical learning framework [J ] . Transactions on Internet and Information Systems , 2015 , 9 ( 11 ): 4291 - 4310 .

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