Interference-Aware Spectrum Resource Management in Dynamic Environment: Strategic Learning With Higher-Order Statistic Optimization

Du, Yihang; Qiao, Xiaoqiang; Zhang, Yu; Xue, Lei; Zhang, Tao; Ma, Pengfei; Chen, Chun

doi:10.1109/tccn.2022.3168649

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Considering the advantages of the stochastic learning algorithm (SLA) on the performance, convergence, and complexity in partially observable environment [41,42], we incorporate the SLA solution to design a BCLA. In the BCLA, each user conjectures about all of its opponents' deception strategies and figures out its random payoffs based on the shared belief.…”

Section: Achieving Ne Points By Back-to-back Coordination-based Learn...mentioning

confidence: 99%

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

Du,

Zhang,

Qian

et al. 2024

IET Communications

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Reactive jammers select jamming strategies according to the users’ responses; thus, conventional anti‐jamming methods such as frequency hopping are inadequate to defeat the jamming attack. In this article, the authors propose a novel uncoupled deception scheme to trap the reactive jammer into attacking a decoy channel in distributed networks. Specifically, the authors design a multi‐functional network utility for every user to mislead the jammer with a minimum energy consumption while achieving the highest network throughput. Based on the network utility, the anti‐jamming problem is formulated as an exact potential game such that the existence of Nash equilibrium can be guaranteed theoretically. The authors further propose a back‐to‐back coordination‐based learning algorithm to reach the optimal channel selection and power adaption in a non‐cooperative way. To alleviate the lack of mutual information exchange, the back‐to‐back coordination mechanism derives all users to deceive the jammer by inferring others’ strategies based on a shared belief. Simulation results show that the proposed algorithm yields higher network throughput and efficiency‐cost ratio compared to the state‐of‐the‐art cooperative schemes.

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Section: Achieving Ne Points By Back-to-back Coordination-based Learn...mentioning

confidence: 99%

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

Du,

Zhang,

Qian

et al. 2024

IET Communications

Self Cite

View full text Add to dashboard Cite

show abstract

Integrated Spectrum Management Architecture Based on Spatial Spectrum Map in Multi-UAVs Networks

Zhang,

Qian,

et al. 2024

Lecture Notes in Electrical Engineering

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Interference-Aware Spectrum Resource Management in Dynamic Environment: Strategic Learning With Higher-Order Statistic Optimization

Cited by 2 publications

References 43 publications

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

A back‐to‐back coordination‐based learning scheme for deceiving reactive jammers in distributed networks

Integrated Spectrum Management Architecture Based on Spatial Spectrum Map in Multi-UAVs Networks

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