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English(EN) On the Limitations of Ray-Tracing for Learning-Based RF Tasks in Urban Environments

研究论文强调了射线追踪在城市射频模拟中的局限性

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新的研究论文探讨了在城市环境中，基于学习的射频（RF）任务的射线追踪模拟的局限性。在罗马进行的研究发现，虽然精确的几何形状和天线模型对模拟保真度至关重要，但准确捕捉城市残余噪声仍然是可迁移射频模拟的一个重大挑战。研究强调，天线的位置和方向对模拟精度有决定性影响，简单的优化可将相关性提高高达130%，并将定位误差降低三分之一。 AI

排序理由 该集群包含一篇在arXiv上发表的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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研究论文强调了射线追踪在城市射频模拟中的局限性

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该集群包含一篇在arXiv上发表的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Armen Manukyan, Hrant Khachatrian, Edvard Ghukasyan, Theofanis P. Raptis ·

    城市环境中基于学习的射频任务的光线追踪局限性

    arXiv:2507.19653v2 Announce Type: replace-cross Abstract: We study the realism of Sionna v1.0.2 ray-tracing for outdoor cellular links in central Rome. We use a real measurement set of 1,664 user-equipments (UEs) and six nominal base-station (BS) sites. Using these fixed position…

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