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arXiv 2408.04320cs.ITeess.SPmath.IT
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将时变信道转化为静态信道:流体天线移动性的力量

Transforming Time-Varying to Static Channels: The Power of Fluid Antenna Mobility

Weidong Li, Haifan Yin, Fanpo Fu, Yandi Cao, Merouane Debbah

AI总结:

本文针对用户设备移动场景,提出基于矩阵束的移动端口预测方法,利用流体天线可移动性将时变信道转化为静态信道,理论分析和仿真验证了其优于现有信道预测方法。

摘要:

本文研究用户设备(UE)侧借助流体天线(FA)解决移动性问题。我们提出一种基于矩阵束的移动端口(MPMP)预测方法,该方法可通过适时滑动液体将时变信道转化为静态信道。与现有的信道预测方法不同,我们设计了一种移动端口选择方法,这是利用FA的可移动性将信道预测转化为端口预测的首次尝试。理论分析表明,对于视距(LoS)信道,当基站天线数量和FA的端口密度足够大时,所提出的MPMP方法的预测误差可收敛至零。对于多径信道,当路径数量足够大时,我们也推导了预测误差的上界和下界。当UE以60或120 km/h的速度移动时,仿真结果表明,在FA的辅助下,所提出的MPMP方法优于现有的信道预测方法。

英文摘要:

This paper addresses the mobility problem with the assistance of fluid antenna (FA) on the user equipment (UE) side. We propose a matrix pencil-based moving port (MPMP) prediction method, which may transform the time-varying channel to a static channel by timely sliding the liquid. Different from the existing channel prediction method, we design a moving port selection method, which is the first attempt to transform the channel prediction to the port prediction by exploiting the movability of FA. Theoretical analysis shows that for the line-ofsight (LoS) channel, the prediction error of our proposed MPMP method may converge to zero, as the number of BS antennas and the port density of the FA are large enough. For a multi-path channel, we also derive the upper and lower bounds of the prediction error when the number of paths is large enough. When the UEs move at a speed of 60 or 120 km/h, simulation results show that, with the assistance of FA, our proposed MPMP method performs better than the existing channel prediction method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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