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English(EN) GPU-Accelerated Robust MA--RIS Pre-Optimization for Communication and Target Illumination

新的 GPU 框架优化天线和表面以实现集成传感和通信

研究人员开发了一个 GPU 加速框架,用于优化集成传感和通信系统中的可移动天线和可重构智能表面。这种新方法称为“感知感知多目标预优化”(RAMP),旨在通过联合选择天线几何形状和表面相位来平衡用户通信速率和目标照明。RAMP 框架保留了特定的帕累托种群并调节了跨感知配对,与现有进化方法相比,在无需在线重新优化的前提下,展示了具有竞争力的鲁棒帕累托质量。 AI

影响 这项研究通过优化硬件配置,有望实现更高效、更鲁棒的集成传感和通信系统。

排序理由 该集群包含一篇详细介绍通信系统新优化框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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

新的 GPU 框架优化天线和表面以实现集成传感和通信

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该集群包含一篇详细介绍通信系统新优化框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Tran Le Dung, Ho Viet Duc Luong ·

    面向通信和目标照明的 GPU 加速鲁棒 MA--RIS 预优化

    arXiv:2610.22431v1 Announce Type: cross Abstract: Movable antennas (MAs) and reconfigurable intelligent surfaces (RISs) offer strong spatial control for integrated sensing and communication (ISAC), but repeatedly adapting MA positions and RIS phases to each channel realization ca…