English(EN) Ray-Tracing-Based Dynamic Channel Sounding With Autoregressive Wi-Fi CSI Prediction

AI驱动的Wi-Fi CSI预测在模拟中将吞吐量提升119%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-05 05:00

研究人员开发了一种新颖的Wi-Fi MIMO系统动态信道探测框架，该框架将自回归CSI预测与SINR约束区间选择相结合。该方法使用带有旋转位置嵌入的Transformer模型来预测跨多个子载波的CSI，旨在改进波束成形更新。该框架旨在最大化预测的平均吞吐量，同时遵守每个流的SINR下限约束，并考虑CSI采集和处理的开销。使用光线追踪和Wi-Fi 7链路级模拟进行的实验表明，与在各种设备轨迹中使用过时的CSI相比，平均吞吐量有了显著提高。 AI

影响这项研究通过改进Wi-Fi系统中的波束成形和吞吐量，可能带来更高效、更准确的无线通信。

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Lyutianyang Zhang, Yixin Ying, Liu Cao, Vanlin Sathya, Jinke Ren, Shuguang Cui · 2026-11-05 05:00

基于光线追踪的动态信道探测与自回归Wi-Fi CSI预测

arXiv:2611.05970v1 Announce Type: cross Abstract: Channel sounding in Wi-Fi multiple-input multiple-output (MIMO) systems must balance channel state information (CSI) accuracy against CSI acquisition overhead. Device mobility causes channel aging, while autoregressive CSI predict…

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报道来源 [1]

基于光线追踪的动态信道探测与自回归Wi-Fi CSI预测

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