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English(EN) Model-Adaptive and Risk-Constrained Frequency Hopping Against Predictive Jammers

新框架D-PACT-AFH增强了对抗预测干扰的自适应跳频性能

研究人员推出了一种名为D-PACT-AFH的新型自适应跳频框架,该框架解决了在面对预测干扰时的模型不确定性和策略暴露问题。该框架利用Tsallis-FTRL主算法结合全局和局部学习模型,能够在线选择最合适的模型类别。该系统将信道边际命中风险纳入模型选择,并采用最小Kullback-Leibler投影来强制执行风险预算,实验证明了其有效的适应性和可控的良好吞吐量-风险权衡。 AI

影响 这项研究通过改进自适应跳频技术,有望在对抗性环境中实现更鲁棒的通信系统。

排序理由 该条目是发表在arXiv上的研究论文,详细介绍了一个新的技术框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新框架D-PACT-AFH增强了对抗预测干扰的自适应跳频性能

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该条目是发表在arXiv上的研究论文,详细介绍了一个新的技术框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yanbo Chen, Xinjing Zhou ·

    针对预测性干扰的模态自适应和风险约束跳频

    arXiv:2609.06514v1 Announce Type: new Abstract: Adaptive frequency hopping against predictive jamming must address both model uncertainty and policy exposure: the context-loss relationship may vary across operating regimes, while persistent hopping patterns may expose high-probab…