Enhancing Indoor-to-Outdoor mmWave Communication with Transparent Amplifying Intelligent Surface

被引:2
|
作者
Liu, Bin [1 ]
Wang, Qing [2 ]
Pollin, Sofie [1 ]
机构
[1] Katholieke Univ Leuven, Dept Elect Engn, Leuven, Belgium
[2] Delft Univ Technol, Dept Comp Sci, Delft, Netherlands
关键词
Reconfigurable intelligent surface; transparent amplifying intelligent surface (TAIS); spectral efficiency; indoor-to-outdoor communication; nonlinear amplification; STATE;
D O I
10.1109/ICC45041.2023.10279668
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
This paper presents a novel transparent amplifying intelligent surface (TAIS) architecture for uplink enhancement in indoor-to-outdoor mmWave communications. The TAIS is an amplifier-based transmissive intelligent surface that can refract and amplify the incident signal, instead of only refracting it with adjustable phase shift by most passive reconfigurable intelligent surfaces (RIS). With advanced indium tin oxide film and printing technology, TAIS can be fabricated on the windows without any visual effects. This paper primarily focuses on exploiting the TAIS-based architecture to boost the uplink spectral efficiency (SE) in indoor-to-outdoor mmWave communications. By jointly optimizing the TAIS's phase shift matrix and transmit power of the user equipment, the uplink SE can be maximized by exploiting the nonlinearity in the TAIS's amplification process. The key point is that we drive the optimal phase shift matrix that maximizes the SE and deduces its closed-form representation. The SE maximization is then proved to be transferred to the transmit power optimization problem. Another important aspect is that we design a low-complexity algorithm to solve the problem using the difference of convex programming. Simulations show that our proposed TAIS can increase the SE by up to 32.6% as compared to its alternative methods.
引用
收藏
页码:6467 / 6473
页数:7
相关论文
共 37 条
  • [31] Offset Learning Based Channel Estimation for Intelligent Reflecting Surface-Assisted Indoor Communication
    Chen, Zhen
    Tang, Jie
    Zhang, Xiu Yin
    Wu, Qingqing
    Wang, Yuxin
    So, Daniel K. C.
    Jin, Shi
    Wong, Kai-Kit
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2022, 16 (01) : 41 - 55
  • [32] Mechatronic Reconfigurable Intelligent-Surface-Driven Indoor Fifth-Generation Wireless Communication
    Jeong, Heijun
    Park, Eiyong
    Phon, Ratanak
    Lim, Sungjoon
    ADVANCED INTELLIGENT SYSTEMS, 2022, 4 (12)
  • [33] Doppler Shift and Channel Estimation for Intelligent Transparent Surface Assisted Communication Systems on High-Speed Railways
    Wang, Yirun
    Wang, Gongpu
    He, Ruisi
    Ai, Bo
    Tellambura, Chintha
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (07) : 4204 - 4215
  • [34] Exploiting Intelligent Reflecting Surface for Enhancing Full-Duplex Wireless-Powered Communication Networks
    Ji, Taotao
    Hua, Meng
    Li, Chunguo
    Huang, Yongming
    Yang, Luxi
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 72 (01) : 553 - 569
  • [35] A three-dimensional wideband mmWave multiple-input multiple-output channel model for aerial reconfigurable intelligent surface-assisted communication systems
    Wu, Xiaona
    Bian, Ji
    Wang, Zili
    Zheng, Xiangwei
    Tian, Jie
    Qiao, Jingping
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2024, 37 (06)
  • [36] Intelligent Reflective Surface-Assisted Visible Light Communication with Angle Diversity Receivers and RNN: Optimizing Non-Line-of-Sight Indoor Environments
    Canizares, Milton Roman
    Azurdia-Meza, Cesar
    Jativa, Pablo Palacios
    Zabala-Blanco, David
    Sanchez, Ivan
    APPLIED SCIENCES-BASEL, 2025, 15 (03):
  • [37] Average signal-to-noise ratio maximization for an intelligent reflecting surface and angle diversity receiver jointly assisted indoor visible light communication system
    Yang, Ting
    Wang, Ping
    Li, Ganggang
    Wang, Hetong
    Li, Shuang
    Shi, Huili
    He, Huimeng
    Shi, Fengyuan
    Chi, Sihui
    APPLIED OPTICS, 2022, 61 (35) : 10390 - 10399