@inproceedings{f591c558b50f4255836fbee187da0612,
title = "Measurement and empirical modeling of massive MIMO channel matrix in real indoor environment",
abstract = "A novel empirical, measurement-based massive MIMO channel matrix model under real indoor environment at 4.1 GHz is proposed. In this model, the channel matrix can be described as the sum of a fixed and a random matrices, furthermore, the random matrix can be decomposed into the product of four parts: the eigenvectors of the transmitting and receiving side correlation matrices, a coupling matrix, whose amplitude and phase are lognormal and uniform distributions, and a complex Gaussian random matrix. By comparing the capacity and singular value spread, the proposed model is validated to be more accurate than the conventional Kronecker and Weichselberger models. The proposed model is promising for the system design and implementation in future 5G systems.",
keywords = "5G, Singular value spread, capacity, channel matrix, massive MIMO",
author = "Yu Yu and Cui, \{Peng Fei\} and Jun She and Yang Liu and Xi Yang and Lu, \{Wen Jun\} and Shi Jin and Zhu, \{Hong Bo\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016 ; Conference date: 13-10-2016 Through 15-10-2016",
year = "2016",
month = nov,
day = "21",
doi = "10.1109/WCSP.2016.7752523",
language = "英语",
series = "2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016",
address = "美国",
}