Research Article
Multiple Dimensional Scaling Hybrid Precoding in Millimeter Wave MIMO System
@INPROCEEDINGS{10.1007/978-3-030-93398-2_38, author={Jiaqi Su and Wenbin Zhang and Liyan Zhang and Jinwei Huang and Shaochuan Wu}, title={Multiple Dimensional Scaling Hybrid Precoding in Millimeter Wave MIMO System}, proceedings={Wireless and Satellite Systems. 12th EAI International Conference, WiSATS 2021, Virtual Event, China, July 31 -- August 2, 2021, Proceedings}, proceedings_a={WISATS}, year={2022}, month={1}, keywords={Millimeter wave communications Hybrid precoding Limited feedback Multiple Dimensional Scaling}, doi={10.1007/978-3-030-93398-2_38} }- Jiaqi Su
Wenbin Zhang
Liyan Zhang
Jinwei Huang
Shaochuan Wu
Year: 2022
Multiple Dimensional Scaling Hybrid Precoding in Millimeter Wave MIMO System
WISATS
Springer
DOI: 10.1007/978-3-030-93398-2_38
Abstract
In most wireless systems, the channel transmission loss of millimeter wave signals is often greater than that of traditional signals. Hybrid precoding can leverage large antenna arrays to compensate this loss and further improve the spectral efficiency of millimeter wave. This paper explores the sparsity of mmWave channel—only a few main paths are useful for the precoding procedure. This sparsity makes it possible to use a limited feedback in channel estimation. We propose a novel hybrid precoding scheme in this paper, which utilizes the main vector of the channel. We call this scheme Multiple Dimensional Scaling (MDS) hybrid precoding. On the one hand, comparing with many traditional hybrid precoding schemes with full channel information feedback, our scheme can decrease feedback overheads significantly. On the other hand, comparing with some hybrid precoding with limited channel feedback information, our scheme can improve spectral efficiency. Moreover, the simulation results show that the system spectral efficiency increases with the number of data streams significantly.
