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Hierarchical coordinated anti-jamming channel access in clustering networks: a multi-leader multi-follower Stackelberg game approach
EURASIP Journal on Advances in Signal Processing ( IF 1.7 ) Pub Date : 2021-07-19 , DOI: 10.1186/s13634-021-00764-0
Yifan Xu 1 , Jin Chen 1 , Zhibin Feng 1 , Kailing Yao 1 , Guoxin Li 1 , Fei Song 1 , Gui Fang 1
Affiliation  

This paper mainly investigates the multi-user coordinated anti-jamming problem in clustering communication networks. In such kinds of networks, there exist multiple clusters and multiple users who communicate with their receivers simultaneously. Besides, a malicious jammer persistently attacks channels with wide-band and dynamic changing jamming signals. To cope with these challenges brought by the large-scale clustering network and the dynamic wide-band jamming, a hierarchical coordinated anti-jamming approach is proposed, and a multi-leader multi-follower Stackelberg game is introduced to model the anti-jamming problem. In detail, cluster heads act as leaders, and select available frequency bands to avoid jamming attacks, while users in each cluster act as followers and select corresponding channels distributedly and independently. Moreover, it is proved that there exist multiple Stackelberg equilibriums (SEs) in the proposed game. To obtain SEs, a hierarchical coordinated anti-jamming channel access (HCACA) algorithm is designed. Simulation results illustrate that the proposed approach is effective to cope with the dynamic wide-band jamming attacks. Furthermore, it is also depicted that the proposed approach outperforms the distributed anti-jamming comparative approach in terms of convergence speed.



中文翻译:

集群网络中分层协同抗干扰信道接入:一种多领导多跟随者 Stackelberg 博弈方法

本文主要研究集群通信网络中的多用户协同抗干扰问题。在此类网络中,存在多个集群和多个用户同时与其接收方通信。此外,恶意干扰器会持续攻击具有宽带和动态变化干扰信号的信道。针对大规模集群网络和动态宽带干扰带来的这些挑战,提出了分层协同抗干扰方法,并引入多领导多跟随者Stackelberg博弈对抗干扰问题进行建模. 具体来说,簇首作为领导者,选择可用频段以避免干扰攻击,而每个簇中的用户作为跟随者,分布式独立地选择相应的信道。而且,证明在所提出的博弈中存在多个 Stackelberg 均衡(SE)。为了获得SE,设计了一种分层协调抗干扰信道接入(HCACA)算法。仿真结果表明,所提出的方法可以有效应对动态宽带干扰攻击。此外,还描述了所提出的方法在收敛速度方面优于分布式抗干扰比较方法。

更新日期:2021-07-19
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