Measurement Based Millimeter Wave Massive MIMO Channel Parameter Comparison

被引:0
|
作者
Zhang, Heng [1 ]
Shao, Yu [1 ]
Liao, Xi [1 ]
Zhang, Jiliang [2 ]
Zhang, Jie [2 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, S Yorkshire, England
基金
中国国家自然科学基金;
关键词
massive MEMO; millimeter wave; propagation channel; virtual antenna arrays measurements;
D O I
暂无
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
Massive multiple-input multiple-output (MIMO) plays a key role in millimeter wave (mmWave) communications. In this paper, a measurement campaign based on virtual antenna arrays is proposed to characterize indoor massive MIMO channel in mmWave hand. Measurements have taken place in an empty hall environment and a rich scattering environment. Measurements are conducted using a virtual uniform rectangular array (URA) whose total elements are set to be 5 X 5, 10 X 10 and 20 X 20 respectively at 28 GHz and 38 GHz with bandwidth of 4 GHz. The power angle delay profiles in each scenario are presented and channel characteristics are analyzed. MEMO metrics such as beam width, side lobe level and spatial resolution are compared with different array sizes and frequencies. Measurement results show that the beamwidth of the main lobe decreases with array size and central frequency, and therefore the resolution of multipath becomes higher.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Multi-Frequency Millimeter Wave Massive MIMO Channel Measurements and Analysis
    Huang, Jie
    Feng, Rui
    Sun, Jian
    Wang, Cheng-Xiang
    Zhang, Wensheng
    Yang, Yang
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [22] Channel estimation by reduced dimension decomposition for millimeter wave massive MIMO system
    Dai, Rong
    Liu, Yang
    Wang, Qin
    Yu, Yu
    Guo, Xin
    PHYSICAL COMMUNICATION, 2021, 44
  • [23] ESPRIT-based Channel Estimation for Frequency-Selective Millimeter Wave Massive MIMO System
    Ma, Wenyan
    Qi, Chenhao
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,
  • [24] Attention mechanism based CNN channel estimation algorithm in millimeter-wave massive MIMO system
    Liu Z.
    Ma S.
    Liang J.
    Zhu M.
    Yuan L.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2022, 44 (01): : 307 - 312
  • [25] A Low Complexity Channel Estimation for Millimeter Wave Massive MIMO Systems Based on Atomic Norm Minimization
    Eskandari, Mahdi
    Bakhshi, Hamidreza
    2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019), 2019, : 1397 - 1401
  • [26] A Tensor-Based High Resolution Millimeter Wave Massive MIMO Channel Parameters Estimation Scheme
    Hong, Junkang
    Wang, Jianhao
    Liu, Congjie
    Sun, Jian
    Zhang, Wensheng
    Wang, Cheng-Xiang
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 5060 - 5065
  • [27] Clustered Sparse Bayesian Learning Based Channel Estimation for Millimeter-Wave Massive MIMO Systems
    Wu, Xianda
    Ma, Shaodan
    Yang, Xi
    Yang, Guanghua
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (12) : 12749 - 12764
  • [28] Channel Estimation Based on Improved Compressive Sampling Matching Tracking for Millimeter-wave Massive MIMO
    Liao, Yong
    Zhao, Lei
    Li, Haowen
    Wang, Fan
    Sun, Guodong
    2020 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2020, : 548 - 553
  • [29] Beamspace Channel Estimation Based on Block Support Detection for Millimeter-wave Massive MIMO Systems
    Long, Xudong
    Song, Kaipeng
    Luo, Yi
    Liu, Yang
    Ma, Junjie
    Qiu, Tianshuang
    2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2022,
  • [30] Sphere Decoding for Millimeter Wave Massive MIMO
    Alouzi, Mohamed
    Chan, Francois
    D'Amours, Claude
    2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,