Base Station Selection for Massive MIMO Networks with Two-stage Precoding
Abstract
The two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information (CSI) feedback for the massive multiple-input multiple-output (MIMO) system. But the overlap of the angle-spreading-ranges (ASR) for different user clusters may seriously degrade the performance of the two-stage precoding. In this letter, we propose one ASR overlap mitigating scheme through the base station (BS) selection. Firstly, the BS selection is formulated as a sum signal-to-interference-plus-noise ratio (SINR) maximization problem. Then, the problem is solved by a low-complex algorithm through maximizing signal-to-leakage-plus-noise ratio (SLNR). In addition, we propose one low-overhead algorithm with the lower bound on the average SLNR as the objective function. Finally, we demonstrate the efficacy of the proposed schemes through the numerical simulations.
Cite
@article{arxiv.1706.05179,
title = {Base Station Selection for Massive MIMO Networks with Two-stage Precoding},
author = {Jianpeng Ma and Shun Zhang and Hongyan Li and Nan Zhao and Victor C. M. Leung},
journal= {arXiv preprint arXiv:1706.05179},
year = {2017}
}
Comments
Submitted to IEEE Wireless Communications Letters