Multifunctional intelligent surfaces based on volumetric inverse topology design

被引:0
|
作者
Asgari, Mohammadmahdi [1 ]
Catrysse, Peter B. [2 ]
Wang, Haiwen [3 ]
Fan, Shanhui [2 ]
Asadchy, Viktar [1 ]
机构
[1] Aalto Univ, Dept Elect & Nanoengn, Espoo, Finland
[2] Stanford Univ, Dept Elect Engn, EL Ginzton Lab, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Appl Phys, Stanford, CA 94305 USA
关键词
Wireless communication; Inverse topology design; Intelligent surfaces;
D O I
10.1109/IRMMW-THz60956.2024.10697829
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Intelligent surfaces represent a viable solution to enhance coverage and address signal fading challenges in future wireless communication, which leads to higher bandwidth and data rate. In this context, multifunctional passive intelligent surfaces can significantly reduce energy usage and cost. However, their capability is currently limited to providing different responses for incident signals with different polarizations, frequencies, or propagation directions. Here, we propose inversely designed volumetric dielectric composites (metacrystals) that can broaden the scope of multifunctional structures. In particular, metacrystals can provide independent control of signals with different polarizations and directions (angles of arrival). Such passive multifunctional structures can be designed to operate at millimeter waves and beyond, significantly impacting the future of wireless communication. Positioned on walls, they can effectively redirect waves in both indoor and outdoor communication settings. The possibility of fabrication using additive manufacturing makes the production of metacrystals cost-effective and scalable.
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Design and validation of scalable reconfigurable intelligent surfaces
    Rossanese, Marco
    Mursia, Placido
    Garcia -Saavedra, Andres
    Sciancalepore, Vincenzo
    Asadi, Arash
    Costa-Perez, Xavier
    COMPUTER NETWORKS, 2024, 241
  • [42] Beampattern design for radars with reconfigurable intelligent surfaces
    Grossi, Emanuele
    Venturino, Luca
    2023 IEEE RADAR CONFERENCE, RADARCONF23, 2023,
  • [43] Fundamentals of Design and Operation of Reconfigurable Intelligent Surfaces
    Tyarin, A. S.
    Kureev, A. A.
    Khorov, E. M.
    JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 2024, 69 (1-3) : 103 - 109
  • [44] Dynamic multifunctional metasurfaces: an inverse design deep learning approach
    Lei, Zhi-dan
    Xu, Yi-duo
    Lei, Cheng
    Zhao, Yan
    Wang, Du
    PHOTONICS RESEARCH, 2024, 12 (01) : 123 - 133
  • [45] Conditional Generative Adversarial Networks for Inverse Design of Multifunctional Metasurfaces
    Kiani, Mehdi
    Kiani, Jalal
    Zolfaghari, Mahsa
    ADVANCED PHOTONICS RESEARCH, 2022, 3 (11):
  • [46] Dynamic multifunctional metasurfaces: an inverse design deep learning approach
    ZHI-DAN LEI
    YI-DUO XU
    CHENG LEI
    YAN ZHAO
    DU WANG
    PhotonicsResearch, 2024, 12 (01) : 123 - 133
  • [47] Inverse design of sub-diffraction focusing metalens by adjoint-based topology optimization
    Dong, Lianhong
    Kong, Weijie
    Wang, Changtao
    Luo, Guoyu
    Pu, Mingbo
    Ma, Xiaoliang
    Li, Xiong
    Luo, Xiangang
    NEW JOURNAL OF PHYSICS, 2023, 25 (10):
  • [48] Inverse design of an indoor environment using a filter-based topology method with experimental verification
    Zhao, Xingwang
    Shi, Zhu
    Chen, Qingyan
    INDOOR AIR, 2020, 30 (05) : 1039 - 1051
  • [49] Inverse design of Silicon-based photonic digital circuit components using topology optimization
    Mammadova, Fakhriyya
    Neseli, Berkay
    Kim, Junhyeong
    Kim, Jae-Yong
    Hong, Seokjin
    Yoon, Jinhyeong
    Park, Hyo-Hoon
    Kurt, Hamza
    OPTICAL INTERCONNECTS XXIV, 2023, 12892
  • [50] Inverse design of locally resonant metabarrier by deep learning with a rule-based topology dataset
    Liu, Chen-Xu
    Yu, Gui-Lan
    Computer Methods in Applied Mechanics and Engineering, 2022, 394