Journal
APPLIED SCIENCES-BASEL
Volume 11, Issue 11, Pages -Publisher
MDPI
DOI: 10.3390/app11115083
Keywords
channel modeling; clustering algorithm; Massive MIMO; multipath cluster; non-WSSUS; radio channel
Categories
Funding
- Beijing Natural Science Foundation [L172030]
- NSFC Project [61931001]
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This paper investigates the radio propagation characteristics of Massive MIMO through realistic measurements and high-precision parameter estimation algorithm. New methods such as multipath clustering algorithm are proposed to bring deeper insight into the cluster evolution over the antenna array axis. The research results align with the theory of the cluster's visible region and aim to contribute to the radio channel modeling of the 5G Massive MIMO communication system.
The paper reports on the radio propagation characteristics of Massive MIMO. The realistic measurements are conducted in typical outdoor LOS and NLOS scenarios with the bandwidth of 100 MHz at the carrier frequency of 1.4725 GHz. In this paper the channel propagation in spectrum and space domains are investigated by employing the high-precision parameter estimation algorithm. Based on big data technology, we propose the multipath clustering algorithm and subinterval programming to bring deeper insight into the cluster evolution over the antenna array axis. The works focus on the correlation, and the result is in accordance with the theory of the cluster's visible region. Furthermore, a non-WSSUS (non-wide sense stationary uncorrelated scattering) channel analytical model is established. The whole research work aims to contribute the radio channel modeling of the 5G Massive MIMO communication system.
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