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可重构智能表面辅助无线通信的用户分配

王丹 陈小梦 王勇芳

王丹, 陈小梦, 王勇芳. 可重构智能表面辅助无线通信的用户分配[J]. 电子与信息学报, 2022, 44(7): 2425-2430. doi: 10.11999/JEIT211473
引用本文: 王丹, 陈小梦, 王勇芳. 可重构智能表面辅助无线通信的用户分配[J]. 电子与信息学报, 2022, 44(7): 2425-2430. doi: 10.11999/JEIT211473
WANG Dan, CHEN Xiaomeng, WANG Yongfang. User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2425-2430. doi: 10.11999/JEIT211473
Citation: WANG Dan, CHEN Xiaomeng, WANG Yongfang. User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2425-2430. doi: 10.11999/JEIT211473

可重构智能表面辅助无线通信的用户分配

doi: 10.11999/JEIT211473
基金项目: 重庆市自然科学基金 (cstc2021jcyj-msxmX0454)
详细信息
    作者简介:

    王丹:女,1982年生,正高级工程师,研究方向为可重构智能表面技术、嵌入式系统(移动通信基带处理系统)、通信软件开发

    陈小梦:女,1996年生,硕士生,研究方向为物理层算法和可重构智能表面技术

    王勇芳:女,1998年生,硕士生,研究方向为物理层算法和可重构智能表面技术

    通讯作者:

    陈小梦 1696611720@qq.com

  • 中图分类号: TN929.5

User Assignment for Wireless Communication Assisted by Reconfigurable Intelligent Surfaces

Funds: The Natural Science Foundation of Chongqing (cstc2021jcyj-msxmX0454)
  • 摘要: 可重构智能表面(RIS)是一种成本效益高的解决方案,可通过大量低成本的无源反射元件,提高无线通信系统的能源效益。在远场情况时,许多工作都是假设以RIS的中心作为反射点为前提展开研究。对于多用户的远场情况而言,用户位置不同会增加基站(BS)的功耗。该文以BS发射功率为代价矩阵,利用Kuhn-Munkres (KM)算法将用户与RIS单元进行匹配。该用户匹配方法在接收信噪比约束下,可以减少BS的发射功率。仿真结果表明,该文所采用的用户与RIS单元匹配方法与随机RIS单元相比,最多可以减少1%的BS功耗。
  • 图  1  多用户系统模型

    图  2  用户与RIS单元构成的二部图

    图  3  BS最小发射功率分析

    图  4  编码位数的影响

    表  1  仿真参数

    参数数值
    RIS大小${s_M}$0.84 m2
    天线增益$G$1
    波长$\lambda $0.1 m
    路径损失指数$\alpha $2
    噪声功率${\sigma ^2}$–96 dBm
    信噪比阈值${r_{0}}$48 dB
    下载: 导出CSV
  • [1] ZHANG Zhengquan, XIAO Yue, MA Zheng, et al. 6G wireless networks: Vision, requirements, architecture, and key technologies[J]. IEEE Vehicular Technology Magazine, 2019, 14(3): 28–41. doi: 10.1109/MVT.2019.2921208
    [2] STRINATI E C, ALEXANDROPOULOS G C, SCIANCALEPORE V, et al. Wireless environment as a service enabled by reconfigurable intelligent surfaces: The RISE-6G perspective[C]. 2021 Joint European Conference on Networks and Communications & 6G Summit, Porto, Portugal, 2021: 562–567.
    [3] HAN Huimei, ZHAO Jun, ZHAI Wenchao, et al. Reconfigurable intelligent surface aided power control for physical-layer broadcasting[J]. IEEE Transactions on Communications, 2021, 69(11): 7821–7836. doi: 10.1109/TCOMM.2021.3104871
    [4] BASAR E, DI RENZO M, DE ROSNY J, et al. Wireless communications through reconfigurable intelligent surfaces[J]. IEEE Access, 2019, 7: 116753–116773. doi: 10.1109/ACCESS.2019.2935192
    [5] DI RENZO M, DEBBAH M, PHAN-HUY D T, et al. Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come[J]. EURASIP Journal on Wireless Communications and Networking, 2019, 2019(1): 129. doi: 10.1186/s13638-019-1438-9
    [6] ABEYWICKRAMA S, ZHANG Rui, WU Qingqing, et al. Intelligent reflecting surface: Practical phase shift model and beamforming optimization[J]. IEEE Transactions on Communications, 2020, 68(9): 5849–5863. doi: 10.1109/TCOMM.2020.3001125
    [7] LIANG Yingchang, CHEN Jie, LONG Ruizhe, et al. Reconfigurable intelligent surfaces for smart wireless environments: Channel estimation, system design and applications in 6G networks[J]. Science China Information Sciences, 2021, 64(10): 200301. doi: 10.1007/s11432-020-3261-5
    [8] YANG Yifei, ZHANG Shuowen, and ZHANG Rui. IRS-enhanced OFDMA: Joint resource allocation and passive beamforming optimization[J]. IEEE Wireless Communications Letters, 2020, 9(6): 760–764. doi: 10.1109/LWC.2020.2968303
    [9] WU Qingqing and ZHANG Rui. Beamforming optimization for intelligent reflecting surface with discrete phase shifts[C]. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019: 7830–7833.
    [10] WU Qingqing and ZHANG Rui. Beamforming optimization for wireless network aided by intelligent reflecting surface with discrete phase shifts[J]. IEEE Transactions on Communications, 2020, 68(3): 1838–1851. doi: 10.1109/TCOMM.2019.2958916
    [11] LI Yiqing, JIANG Miao, ZHANG Qi, et al. Joint beamforming design in multi-cluster MISO NOMA reconfigurable intelligent surface-aided downlink communication networks[J]. IEEE Transactions on Communications, 2021, 69(1): 664–674. doi: 10.1109/TCOMM.2020.3032695
    [12] QIAN X, DI RENZO M, LIU J, et al. Beamforming through reconfigurable intelligent surfaces in single-user MIMO systems: SNR distribution and scaling laws in the presence of channel fading and phase noise[J]. IEEE Wireless Communications Letters, 2021, 10(1): 77–81. doi: 10.1109/LWC.2020.3021058
    [13] ZHANG Hongliang, DI Boya, SONG Lingyang, et al. Reconfigurable intelligent surfaces assisted communications with limited phase shifts: How many phase shifts are enough?[J]. IEEE Transactions on Vehicular Technology, 2020, 69(4): 4498–4502. doi: 10.1109/TVT.2020.2973073
    [14] ZENG Shuhao, ZHANG Hongliang, DI Boya, et al. Reconfigurable Intelligent Surface (RIS) assisted wireless coverage extension: RIS orientation and location optimization[J]. IEEE Communications Letters, 2021, 25(1): 269–273. doi: 10.1109/LCOMM.2020.3025345
    [15] ÖZDOGAN Ö, BJÖRNSON E, and LARSSON E G. Intelligent reflecting surfaces: Physics, propagation, and pathloss modeling[J]. IEEE Wireless Communications Letters, 2020, 9(5): 581–585. doi: 10.1109/LWC.2019.2960779
    [16] 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
    [17] HU Sha, CHITTI K, RUSEK F, et al. User assignment with distributed Large Intelligent Surface (LIS) systems[C]. The IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy, 2018: 1–6.
    [18] MUNKRES J. Algorithms for the assignment and transportation problems[J]. Journal of the Society for Industrial and Applied Mathematics, 1957, 5(1): 32–38. doi: 10.1137/0105003
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出版历程
  • 收稿日期:  2021-12-09
  • 修回日期:  2022-03-17
  • 网络出版日期:  2022-03-24
  • 刊出日期:  2022-07-25

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