Optimal Hybrid Beamforming for Multiuser Massive MIMO Systems With Individual SINR Constraints
Abstract
In this letter, we consider optimal hybrid beamforming design to minimize the transmission power under individual signal-to-interference-plus-noise ratio (SINR) constraints in a multiuser massive multiple-input-multiple-output (MIMO) system. This results in a challenging non-convex optimization problem. We consider two cases. In the case where the number of users is smaller than or equal to that of radio frequency (RF) chains, we propose a low-complexity method to obtain a globally optimal solution and show that it achieves the same transmission power as an optimal fully-digital beamformer. In the case where the number of users is larger than that of RF chains, we propose a low-complexity globally convergent alternating algorithm to obtain a stationary point.
Keywords
Cite
@article{arxiv.1811.10133,
title = {Optimal Hybrid Beamforming for Multiuser Massive MIMO Systems With Individual SINR Constraints},
author = {Guangda Zang and Ying Cui and Hei Victor Cheng and Feng Yang and Lianghui Ding and Hui Liu},
journal= {arXiv preprint arXiv:1811.10133},
year = {2018}
}
Comments
4 pages, 3 figures, to be published in IEEE Wireless Communications Letters