期刊
IEEE TRANSACTIONS ON COMMUNICATIONS
卷 70, 期 1, 页码 621-634出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2021.3120757
关键词
Manganese; Antenna arrays; Massive MIMO; Channel models; Antenna measurements; Three-dimensional displays; Fading channels; Massive MIMO; 3D non-stationary channel models; ray-level evolution; ray (dis)appearance; Rayleigh distance
资金
- National Key R&D Program of China [2018YFB1801101]
- National Natural Science Foundation of China (NSFC) [61960206006, 61901109]
- Frontiers Science Center for Mobile Information Communication and Security
- High Level Innovation and Entrepreneurial Research Team Program in Jiangsu
- High Level Innovation and Entrepreneurial Talent Introduction Program in Jiangsu
- Research Fund of National Mobile Communications Research Laboratory, Southeast University [2020B01, 2021B02]
- Fundamental Research Funds for the Central Universities [2242021R30001]
- EU [872172]
- Taishan Scholar Program of Shandong Province
This paper proposes a novel space-time non-stationary 3D wideband massive MIMO channel model and introduces a ray-level process and a Gamma-Poisson mixture distribution method. By deriving key statistical properties and analyzing their impacts, the correctness of the proposed model is verified.
In this paper, a novel space-time non-stationary three-dimensional (3D) wideband massive multiple-input multiple-output (MIMO) channel model is proposed. We then propose a ray-level process to model the spatial-temporal evolution of individual multipath components (MPCs), including near-field effects and (dis)appearance, and cluster-level large-scale fading. The proposed evolution process can flexibly control rays' lifespans and smoothness of (dis)appearance in both space and time domains. In addition, we propose an improved Rayleigh-distance criterion to determine the most adequate wavefront for each cluster and ray. Existing models can easily implement the proposed criterion and make a more efficient use of computation resources. Also, a Gamma-Poisson mixture distribution is introduced to model the distribution of the number of clusters when multiple locations of the mobile station are considered. Key statistical properties of the channel, including the autocorrelation function (ACF), Doppler power spectral density (PSD), spatial cross-correlation function (S-CCF), and frequency correlation function (FCF), are derived and the impact of the ray-level evolution process on them is analyzed. We demonstrate the correctness of the derived statistical properties through numerical and simulation results.
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