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智能反射表面辅助太赫兹信道估计的低复杂度算法

张祖凡 杨作为 王国仲

张祖凡, 杨作为, 王国仲. 智能反射表面辅助太赫兹信道估计的低复杂度算法[J]. 电子与信息学报, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476
引用本文: 张祖凡, 杨作为, 王国仲. 智能反射表面辅助太赫兹信道估计的低复杂度算法[J]. 电子与信息学报, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476
ZHANG Zufan, YANG Zuowei, WANG Guozhong. A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476
Citation: ZHANG Zufan, YANG Zuowei, WANG Guozhong. A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476

智能反射表面辅助太赫兹信道估计的低复杂度算法

doi: 10.11999/JEIT221476
基金项目: 重庆市教育委员会科学技术研究计划重大项目(KJZD-M201900601)
详细信息
    作者简介:

    张祖凡:男,教授,研究方向为无线通信、移动社交网络、机器学习等

    杨作为:男,硕士生,研究方向为无线通信、智能反射表面等

    王国仲:男,博士生,研究方向为无线通信、智能反射表面等

    通讯作者:

    杨作为 1109307319@qq.com

  • 中图分类号: TN92

A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation

Funds: The Major Project of Science and Technology Research Program of Chongqing Education Commission of China (KJZD-M201900601)
  • 摘要: 信道估计是智能反射表面(IRS)辅助太赫兹(THz)通信中的一大挑战。为了减少由收发端天线和IRS反射元件数增加引起的信道估计导频开销过大的问题,该文提出一种基于正则平行因子(CP)分解的信道估计算法。首先在分析信道特点的基础上对IRS阵元进行分组设计,然后将IRS辅助的无线通信信道表示为统一数学表达式,接着利用多天线THz信道固有的低秩结构将信号接收矩阵构建成一个3维张量,并且利用基于正则平行因子分解算法对张量进行分解,最后利用相关性对信道参数进行估计。通过蒙特卡罗仿真表明,该算法在信道传输条件相同的情况下相对于基准算法有4.28 dB和7.12 dB左右的性能提升,并且具有更低的计算复杂度。
  • 图  1  系统模型

    图  2  不同路径数和信噪比下的信道估计的NMSE

    图  3  信道参数估计的MSE

    图  4  不同反射元件数下信噪比和导频开销的NMSE比较

    图  5  不同信噪比下反射元件和导频开销的NMSE比较

    图  6  3种不同算法的NMSE对比

  • [1] YOU Xiaohu, WANG Chengxiang, HUANG Jie, et al. Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts[J]. Science China Information Sciences, 2021, 64(1): 110301. doi: 10.1007/s11432-020-2955-6
    [2] AKYILDIZ I F, JORNET J M, and HAN Chong. Terahertz band: Next frontier for wireless communications[J]. Physical Communication, 2014, 12: 16–32. doi: 10.1016/j.phycom.2014.01.006
    [3] PRIEBE S and KURNER T. Stochastic modeling of THz indoor radio channels[J]. IEEE Transactions on Wireless Communications, 2013, 12(9): 4445–4455. doi: 10.1109/TWC.2013.072313.121581
    [4] WU Qingqing and ZHANG Rui. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2020, 58(1): 106–112. doi: 10.1109/MCOM.001.1900107
    [5] WU Qingqing, ZHANG Shuowen, ZHENG Beixiong, et al. Intelligent reflecting surface-aided wireless communications: A tutorial[J]. IEEE Transactions on Communications, 2021, 69(5): 3313–3351. doi: 10.1109/TCOMM.2021.3051897
    [6] WU Qingqing and ZHANG Rui. Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019, 18(11): 5394–5409. doi: 10.1109/TWC.2019.2936025
    [7] PAN Cunhua, REN Hong, WANG Kezhi, et al. Multicell MIMO communications relying on intelligent reflecting surfaces[J]. IEEE Transactions on Wireless Communications, 2020, 19(8): 5218–5233. doi: 10.1109/TWC.2020.2990766
    [8] MA Xiaoyan, GUO Shuaishuai, ZHANG Haixia, et al. Joint beamforming and reflecting design in reconfigurable intelligent surface-aided multi-user communication systems[J]. IEEE Transactions on Wireless Communications, 2021, 20(5): 3269–3283. doi: 10.1109/TWC.2020.3048780
    [9] 张祖凡, 张迪. 智能反射表面辅助无线能量传输的保密率最大化算法[J]. 电子与信息学报, 2022, 44(7): 2366–2373. doi: 10.11999/JEIT211255

    ZHANG Zufan and ZHANG Di. Secrecy rate maximization algorithm for intelligent reflecting surface assisted wireless energy transmission[J]. Journal of Electronics &Information Technology, 2022, 44(7): 2366–2373. doi: 10.11999/JEIT211255
    [10] MA Xinying, CHEN Zhi, CHI Yaojia, et al. Channel estimation for intelligent reflecting surface enabled terahertz MIMO systems[C]. 2020 IEEE International Conference on Communications Workshops (ICC Workshops), Dublin, Ireland, 2020: 1–6.
    [11] ZHOU Lei, DAI Jisheng, XU Weichao, et al. Sparse channel estimation for intelligent reflecting surface assisted massive MIMO systems[J]. IEEE Transactions on Green Communications and Networking, 2022, 6(1): 208–220. doi: 10.1109/TGCN.2022.3146188
    [12] NING Boyu, CHEN Zhi, CHEN Wenrong, et al. Terahertz multi-user massive MIMO with intelligent reflecting surface: Beam training and hybrid beamforming[J]. IEEE Transactions on Vehicular Technology, 2021, 70(2): 1376–1393. doi: 10.1109/TVT.2021.3052074
    [13] LIN Cen and LI G Y. Indoor terahertz communications: How many antenna arrays are needed?[J]. IEEE Transactions on Wireless Communications, 2015, 14(6): 3097–3107. doi: 10.1109/TWC.2015.2401560
    [14] PRIEBE S, KANNICHT M, JACOB M, et al. Ultra broadband indoor channel measurements and calibrated ray tracing propagation modeling at THz frequencies[J]. Journal of Communications and Networks, 2013, 15(6): 547–558. doi: 10.1109/JCN.2013.000103
    [15] TANG Wankai, CHEN Mingzheng, CHEN Xiangyu, et al. Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement[J]. IEEE Transactions on Wireless Communications, 2021, 20(1): 421–439. doi: 10.1109/TWC.2020.3024887
    [16] HITCHCOCK F L. The expression of a tensor or a polyadic as a sum of products[J]. Journal of Mathematics and Physics, 1927, 6(1/4): 164–189. doi: 10.1002/sapm192761164
    [17] KOLDA T G and BADER B W. Tensor decompositions and applications[J]. SIAM Review, 2009, 51(3): 455–500. doi: 10.1137/07070111X
    [18] KRUSKAL J B. Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics[J]. Linear Algebra and its Applications, 1977, 18(2): 95–138. doi: 10.1016/0024-3795(77)90069-6
    [19] ZHOU Zhou, FANG Jun, YANG Linxiao, et al. Low-rank tensor decomposition-aided channel estimation for millimeter wave MIMO-OFDM systems[J]. IEEE Journal on Selected Areas in Communications, 2017, 35(7): 1524–1538. doi: 10.1109/JSAC.2017.2699338
    [20] DE ARAÚJO G T and DE ALMEIDA A L F. PARAFAC-based channel estimation for intelligent reflective surface assisted MIMO system[C]. 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, 2020: 1–5.
    [21] WEI Li, HUANG Chongwen, ALEXANDROPOULOS G C, et al. Channel estimation for RIS-empowered multi-user MISO wireless communications[J]. IEEE Transactions on Communications, 2021, 69(6): 4144–4157. doi: 10.1109/TCOMM.2021.3063236
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出版历程
  • 收稿日期:  2022-11-25
  • 修回日期:  2023-04-20
  • 网络出版日期:  2023-04-27
  • 刊出日期:  2023-10-31

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