Abstract
The 2D precoding technology can only adjust the beam in a horizontal direction through data processing, which will cause serious problems for multiuser systems, especially at the edge of the base station it will cause serious inter-cell interference. To solve this problem, in the frequency-division duplex (FDD) 3D-MIMO Heterogeneous network system, the influence of feedback overhead on system performance under limited feedback mechanism is studied using random geometry. Based on the deployment of a uniform planar array (UPA) at the base station, a 3D-MIMO multiuser codebook design scheme based on horizontal transmission angle and the vertical down-tilt angle is proposed, and the codebook design scheme is simulated and analyzed. The results show that the feedback overhead and the micro base station density affect the system throughput and even affect the bit error rate (BER) of the 3D precoding scheme. Compared with the precoding scheme based on 2D and 3D discrete Fourier transform (DFT) codebooks, this scheme greatly reduces the system’s BER, improves the system’s throughput, and optimizes system performance.
Highlights
Three Dimensional multiple-input multiple-output (MIMO) (3D-MIMO) is a type of Massive MIMO Technology which has the ability to move the beam horizontally as well as vertically
The interference of the user terminal can be eliminated as much as possible. This heterogenous network simulation environment is built by MATLAB, and the improved 3D codebook is brought into the process of system performance analysis
Based on the the traditional precoding scheme, an improved 3D precoding scheme based on horizontal emission traditional precoding scheme, an improved 3D precoding scheme based on horizontal emission angle angle and vertical down-tilt is proposed
Summary
Three Dimensional MIMO (3D-MIMO) is a type of Massive MIMO Technology which has the ability to move the beam horizontally as well as vertically. With the widespread use of smartphones such as mobile phones and tablets, the volume of mobile data services has exploded, and existing wireless communication systems can no longer meet such huge business demands. Academia and industry have successfully conducted research on 5G mobile communication. Massive MIMO technology is one of the candidate key technologies for 5G. Compared with the existing (SNR) [3]. To make full use of the role of precoding, the transmitter must obtain enough channel state information (CSI). For Time Division Duplexing (TDD) systems, CSI can be obtained through the reciprocity of uplink and downlink channels, but susceptible to pilot contamination [4]
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