智能反射面缓解多普勒效应的相位优化简化方法
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南京邮电大学通信与信息工程学院,南京 210003

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国家自然科学基金(62171235);中国电信产学研合作项目。


A Simplified Phase Optimization Method for Intelligent Reflecting Surface-Assisted Doppler Mitigation
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College of Telecommunication & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

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    摘要:

    智能反射面(Intelligent reflecting surface, IRS)是实现智能无线环境最具吸引力的关键技术之一,在高速移动环境中部署IRS能有效缓解多普勒效应。已有文献针对高速移动信道提出IRS协助多普勒补偿方法,但其中部分信道参数估计需使用最大似然估计方法,使得IRS优化相位的计算复杂度较高。本文提出一种简化的IRS相位优化方法,给出改进的优化相位计算的直接表达式,表达式中的信道参数可仅通过低复杂度信道估计方法获得。与其他方案相比,新方案可避免使用复杂的估计方法,防止引入额外的估计误差,有效降低了计算复杂度。数值仿真结果表明,新方案在有效减少程序运行时长的同时,仍然可获得较高的的无源波束形成增益,并且在导频开销受限时具有较强的鲁棒性。

    Abstract:

    Intelligent reflecting surface (IRS) is one of the most attractive key techniques to realize smart radio environments. It is effective to mitigate Doppler effect in the high-mobility environments by deploying IRSs. An IRS-assisted Doppler mitigation method has been proposed for high-mobility communications in the literature. However, the computational complexity of IRS phase optimization is high due to the maximum likelihood estimator for partial channel parameters. A simplified IRS phase optimization method is proposed, and the phase expression is derived. The channel improved parameters can be obtained by a low-complexity channel estimation method. Compared with the other scheme, the new scheme avoids the complex estimation methods, prevents the additional estimation errors, and effectively reduces the computational complexity. Numerical simulation results show that the new scheme can effectively reduce the program running time, while still achieving superior passive beamforming gain and strong robustness when pilot overhead is limited.

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柳听瓷,姚高繁,吴炜,宋荣方.智能反射面缓解多普勒效应的相位优化简化方法[J].数据采集与处理,2023,38(5):1162-1171

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  • 收稿日期:2022-03-31
  • 最后修改日期:2022-11-18
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  • 在线发布日期: 2023-09-25