@inproceedings{9d908c77393b4a439b412325969b99e8,
title = "Energy-efficient Hybrid Precoding for Beamspace MIMO Systems with Lens Array",
abstract = "The beamspace MIMO can significantly reduce the number of power radio frequency (RF) chains in millimetre-wave (mmWave) communications by utilizing lens antenna array. However, most existing studies consider the phase shifters (PSs) as the main components of the analog beamformer, which result in a significant loss of energy efficiency. In the paper, we propose a switch selection network to solve this problem, where the analog component of beamspace MIMO systems is realized by a sub-connected switch network rather than the PS. Based on the proposed architecture, an optimal hybrid cross-entropy (HCE) based hybrid precoding scheme is designed to maximize the achieveable sum-rate, where the probability distribution of the hybrid precoder is updated by minimizing CE with unadjusted probabilities and smoothing constant. Simulation results show that the proposed HCE-based hybrid precoding can not only effectively achieve the satisfied sum-rate performance, but also outperform the PSs schemes with regard to energy efficiency.",
keywords = "Beamspace, Cross-entropy, Hybrid Precoding, Lens Array, Machine Learning, mmWave Massive MIMO",
author = "Ting Ding and Yongjun Zhao and Lixin Li and Dexiu Hu and Lei Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 19th IEEE International Conference on Communication Technology, ICCT 2019 ; Conference date: 16-10-2019 Through 19-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICCT46805.2019.8947212",
language = "英语",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "628--632",
booktitle = "2019 IEEE 19th International Conference on Communication Technology, ICCT 2019",
}
