@inproceedings{fa108593416a461fa362e717ec7a188c,
title = "Energy Efficient Hybrid Precoding for Cooperative Multicell Multiuser Massive MIMO Systems with Multiple Base Station Association",
abstract = "Massive multiple-input multiple-output (massive MIMO) and the millimeter wave (mmWave) communication are known to be among the key technologies for the fifth generation (5G) mobile networks. The implementation of massive MIMO with the mmWave architecture requires the utilization of hybrid precoding technique with a low dimensional digital precoder and a high dimensional analog precoder. In this paper, we investigate the hybrid precoding design problem for the case of cooperative multicell multiuser massive MIMO system. This problem is formulated with the consideration of the user and base station (BS) association problem, and we propose an iterative algorithm to solve the formulated problem. The precoding problem is solved using the Eigen precoding algorithm whereas the Lagrangian based approach is proposed for the solution of the association problem. Simulation results show that our proposed solution can achieve higher energy efficiency and convergence rate.",
keywords = "Cooperative multicell multiuser massive MIMO, hybrid precoding, multi base station association",
author = "Imran Akhtar and Lixin Li and Fucheng Yang and Xu Li and Ang Gao and Wei Chen and Zhu Han",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 ; Conference date: 25-06-2018 Through 29-06-2018",
year = "2018",
month = aug,
day = "28",
doi = "10.1109/IWCMC.2018.8450379",
language = "英语",
isbn = "9781538620700",
series = "2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "418--423",
booktitle = "2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018",
}
