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English(EN) NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks

NARRAS系统通过边缘触发的CSI报告优化车联网定位

研究人员开发了NARRAS,一种用于车联网中基于CSI的定位的新型系统。NARRAS采用了边缘触发分布式推理(ETDI)方法,允许远程天线阵列智能地决定向融合中心报告哪些信道状态信息(CSI)。该方法通过仅传输有价值的数据来优化资源使用,在相似的上行链路活动水平下,与其他的稀疏报告策略相比,提高了定位精度。 AI

影响 通过优化定位任务的数据传输,提高了车联网的效率。

排序理由 这是一篇详细介绍车联网中基于CSI的定位新方法的学术论文。

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NARRAS系统通过边缘触发的CSI报告优化车联网定位

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Rodrigo Oliver, Ricardo Vazquez Alvarez, Alejandro Lancho, Stefano Rini ·

    NARRAS:面向车联网 CSI 定位的边缘触发分布式推理

    arXiv:2606.11914v1 Announce Type: cross Abstract: CSI-based localization with spatially distributed antenna arrays exposes a basic resource trade-off. Each array can provide a rich view of the channel, but forwarding observations from all arrays to a fusion center is wasteful whe…

  2. arXiv cs.LG TIER_1 English(EN) · Stefano Rini ·

    NARRAS:面向车联网 CSI 定位中的边缘触发分布式推理

    CSI-based localization with spatially distributed antenna arrays exposes a basic resource trade-off. Each array can provide a rich view of the channel, but forwarding observations from all arrays to a fusion center is wasteful when only a few carry useful information, and the sha…