Communications and Networking. 13th EAI International Conference, ChinaCom 2018, Chengdu, China, October 23-25, 2018, Proceedings

Research Article

Non-stationary Characteristics for Indoor Massive MIMO Channels

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  • @INPROCEEDINGS{10.1007/978-3-030-06161-6_38,
        author={Qi Wang and Jiadong Du and Yuanyuan Cui},
        title={Non-stationary Characteristics for Indoor Massive MIMO Channels},
        proceedings={Communications and Networking. 13th EAI International Conference, ChinaCom 2018, Chengdu, China, October 23-25, 2018, Proceedings},
        proceedings_a={CHINACOM},
        year={2019},
        month={1},
        keywords={Massive MIMO Channel characteristics Angular parameter},
        doi={10.1007/978-3-030-06161-6_38}
    }
    
  • Qi Wang
    Jiadong Du
    Yuanyuan Cui
    Year: 2019
    Non-stationary Characteristics for Indoor Massive MIMO Channels
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-06161-6_38
Qi Wang1,*, Jiadong Du1, Yuanyuan Cui1
  • 1: China Academy of Information and Communications Technology
*Contact email: qiwang.609@gmail.com

Abstract

Massive Multiple Input Multiple Output (MIMO) has been widely considered as one of the most promising technologies for the fifth-generation (5G) wireless communication. In massive MIMO system, the research on channel characteristics is important. In this paper, the characteristics for massive MIMO channels at both 2 GHz and 6 GHz are investigated. Based on the real-world measurements, the channel parameters in the delay and frequency domains are extracted to show the non-stationary phenomenon over the large-scale antenna array. Furthermore, the characteristics of the angular parameters extracted by space-alternating generalized expectation-maximization (SAGE) algorithm are investigated and the fluctuations are modeled. The results for different frequencies are useful for deep understanding of massive MIMO channels in the future.