Macroscopic model and statistical model to characterize electromagnetic information of a digital coding metasurface
作者机构：Institute of Electromagnetic Space Southeast University State Key Laboratory of Millimeter WavesSoutheast University Peng Cheng Laboratory Pazhou Laboratory(Huangpu)
出 版 物：《National Science Review》 (国家科学评论(英文版))
年 卷 期：2024年第11卷第3期
页 面：159-171页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：supported by the National Key Research and Development Program of China (2021YFA1401002 and 2018YFA070194) the National Natural Science Foundation of China (62288101, 62171124 and 62225108) the Jiangsu Province Frontier Leading Technology Basic Research Project(BK20212002) the major key project of Peng Cheng Laboratory(PCL2023AS1-2) the School Discipline Innovation Talent Recruitment Program (111-2-05) the Fundamental Research Funds for the Central Universities (2242023k5002) the Jiangsu Provincial Innovation and Entrepreneurship Doctor Program
主 题：electromagnetic information theory current entropy current space digital coding metasurface macroscopic model statistical model
摘 要：A digital coding metasurface is a platform connecting the digital space and electromagnetic wave space, and has therefore gained much attention due to its intriguing value in reshaping wireless channels and realizing new communication architectures. Correspondingly, there is an urgent need for electromagnetic information theory that reveals the upper limit of communication capacity and supports the accurate design of metasurface-based communication systems. To this end, we propose a macroscopic model and a statistical model of the digital coding metasurface. The macroscopic model uniformly accommodates both digital and electromagnetic aspects of the meta-atoms and predicts all possible scattered fields of the digital coding metasurface based on a small number of simulations or measurements. Full-wave simulations and experimental results show that the macroscopic model is feasible and accurate. A statistical model is further proposed to correlate the mutual coupling between meta-atoms with covariance and to calculate the entropy of the equivalent currents of digital coding metasurface. These two models can help reconfigurable intelligent surfaces achieve more accurate beamforming and channel estimation, and thus improve signal power and coverage. Moreover, the models will encourage the creation of a precoding codebook in metasurface-based direct digital modulation systems, with the aim of approaching the upper limit of channel capacity. With these two models, the concepts of current space and current entropy, as well as the analysis of information loss from the coding space to wave space, is established for the first time, helping to bridge the gap between the digital world and the physical world, and advancing developments of electromagnetic information theory and new-architecture wireless systems.
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