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English(EN) Secrecy Energy Efficiency for IRS-Assisted Low-Altitude Communications: A D3QN-PER Based Approach

D3QN-PER提升无人机-IRS通信的保密能效

研究人员开发了一种新颖的方法,通过集成无人机(UAV)和智能反射面(IRS)来增强低空无线通信中的保密能效。所提出的方法构建了一个复杂的优化问题,以最大化保密能效,涉及波束成形、IRS相位偏移和无人机轨迹。为了解决无人机轨迹优化问题,引入了一种基于优先经验回放的双深度Q网络(D3QN-PER)算法,据称与传统的深度Q网络相比,该算法提供了更好的收敛性和稳定性。 AI

影响 引入了一种新颖的D3QN-PER算法,用于优化无人机-IRS通信,有望提高未来无线网络的效率和安全性。

排序理由 该项目是一篇学术论文,详细介绍了一种用于特定通信系统的新算法和优化方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

D3QN-PER提升无人机-IRS通信的保密能效

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该项目是一篇学术论文,详细介绍了一种用于特定通信系统的新算法和优化方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Wenchi Cheng ·

    IRS辅助低空通信的保密能效:基于D3QN-PER的方法

    To address the security and energy efficiency challenges in low-altitude economy (LAE) wireless communications, we develop a secure synergistic network integrating unmanned aerial vehicle (UAV) and intelligent reflecting surface (IRS), with an emphasis on maximizing secrecy energ…