Bayesian EM Digital Twins Channel Estimation

IF 5.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Wireless Communications Letters Pub Date : 2025-02-12 DOI:10.1109/LWC.2025.3541114

Lorenzo Del Moro;Francesco Linsalata;Marouan Mizmizi;Maurizio Magarini;Damiano Badini;Umberto Spagnolini

引用次数: 0

Abstract

This letter proposes a Bayesian channel estimation method that leverages on the a priori information provided by the Electromagnetic Digital Twin’s (EM-DT) representation of the environment. The proposed approach is compared with several conventional techniques in terms of Normalized Mean Square Error (NMSE), spectral efficiency, and number of pilots. Simulations prove more than 10 dB gain in NMSE and a spectral efficiency comparable to that of the ideal channel state information, for different signal-to-noise ratio (SNR) values. Additionally, the Bayesian EM-DT-empowered channel estimation enables a remarkable pilot reduction compared to maximum likelihood methods at low SNR.

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贝叶斯EM数字孪生信道估计

这封信提出了一种贝叶斯信道估计方法，该方法利用电磁数字孪生（EM-DT）环境表示提供的先验信息。在归一化均方误差（NMSE）、频谱效率和导频数量方面，将该方法与几种传统方法进行了比较。仿真结果表明，在不同信噪比（SNR）值下，NMSE增益超过10 dB，频谱效率与理想信道状态信息相当。此外，与低信噪比下的最大似然方法相比，贝叶斯em - dt支持的信道估计能够显著减少导频。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering

CiteScore

12.30

自引率

6.30%

发文量

481

期刊介绍： IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.