Research Article
Low Complexity Hybrid Precoding for Millimeter Wave MIMO Systems
@INPROCEEDINGS{10.1007/978-3-030-93398-2_40, author={Mengying Jiang and Jiayan Zhang and Honglin Zhao}, title={Low Complexity Hybrid Precoding for Millimeter Wave MIMO Systems}, 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={Massive MIMO Millimeter wave Hybrid precoding Low complexity}, doi={10.1007/978-3-030-93398-2_40} }- Mengying Jiang
Jiayan Zhang
Honglin Zhao
Year: 2022
Low Complexity Hybrid Precoding for Millimeter Wave MIMO Systems
WISATS
Springer
DOI: 10.1007/978-3-030-93398-2_40
Abstract
Massive multiple input multiple output (MIMO) technology and millimeter wave (mmWave) system, as the key technologies of the new generation of mobile communications, can effectively increase channel capacity and relieve spectrum resources. Because the mmWave has a short wavelength, the transceiver can be composed of a large antenna array to reduce severe signals attenuation. Furthermore, the use of hybrid precoding technology can improve system performance and reduce system hardware complexity. The classic hybrid precoding algorithm that based on simultaneous orthogonal matching pursuit (SOMP) requires matrix inversion, which leads to high complexity, and its performance depends on the accuracy of channel estimation. In this paper, by modeling the mmWave MIMO system, we compare three improved algorithms, which are orthogonality based matching pursuit algorithm (OBMP), matrix-inversion-bypass simultaneous orthogonal matching pursuit algorithm (MIB-SOMP) and residual matrix-singular value decomposition algorithm (RM-SVD). We analyze the performance of the algorithms, such as complexity, spectrum efficiency, bit error rate, as well as the advantages and disadvantages of the algorithms.
