@inproceedings{44bbb4dc49bc4fc4b5d809b3659bd26d,
title = "Scalable Pilot Assignment for User-Centric Cell-Free Massive MIMO Networks",
abstract = "Cell-free massive multiple-input multiple-output (MIMO) is considered as a promising network architecture for beyond-5G communications with its potential of supporting the exponentially increasing mobile connections and resolving the inherent disadvantage of canonical cellular networks. This paper proposes a scalable pilot assignment algorithm for user-centric cell-free massive MIMO systems. The proposed scheme considers the eigenspace of channel vectors and minimizes the sum pilot contamination caused to all the serving APs of the currently considered UE. Interference-suppressing combining schemes are utilized in both centralized and distributed operations to evaluate the performance of the proposed algorithm. Furthermore, max-min SE fairness is considered by applying fractional power control. Numerical results show that the proposed scheme outperforms previous methods while providing the scalability to the network.",
keywords = "Cell-free, Massive MIMO, Pilot assignment",
author = "Zhihan Ren and Angela Doufexi and Beach, \{Mark A\}",
year = "2022",
month = aug,
day = "11",
doi = "10.1109/ICC45855.2022.9838896",
language = "English",
isbn = "9781538683484",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "Proceedings of IEEE International Conference on Communications",
address = "United States",
}