Clustering-Based Nonstationary Massive MIMO Channel Modeling at 1.4725 GHz

Yanping Lu,Liqin Fu,Liu Liu

doi:10.3390/app11115083

Abstract

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.

Highlights

Massive multiple input and multiple output (Massive MIMO), as a key technique for the 5th generation (5G) wireless communications systems, presents a highly promising solution to meet the demanding requirements of spectrum efficiency and the energy efficiency [1,2,3]
New propagation characteristics are inevitably brought into wireless channel modeling due to the dense deployment of so many antenna elements
Both element number and physical size of the antenna array lead to the sub-channel correlation, which deeply influences the cooperative work of the Massive MIMO antenna element [4]

Summary

Introduction

Massive multiple input and multiple output (Massive MIMO), as a key technique for the 5th generation (5G) wireless communications systems, presents a highly promising solution to meet the demanding requirements of spectrum efficiency and the energy efficiency [1,2,3]. Huge numbers of element antennas have proven to be double-edged, a great opportunity and challenging the generation of communication systems. New propagation characteristics are inevitably brought into wireless channel modeling due to the dense deployment of so many antenna elements. Both element number and physical size of the antenna array lead to the sub-channel correlation, which deeply influences the cooperative work of the Massive MIMO antenna element [4]. Lund University conducted measurements in 2.6 GHz, and the received power showed some discontinuous jump points in the dimensions of the antenna array, indicating the inconsistency of the elements [5]

Results

Discussion

Conclusion