@inproceedings{a05cce86192b49f3bcac969e9202e265,
title = "Time-multiplexed / superimposed pilot selection for massive MIMO pilot decontamination",
abstract = "In massive multiple-input multiple-output (MIMO) systems, superimposed (SP) and time-multiplexed (TM) pilots exhibit a complementary behavior, with the former and latter schemes offering a higher throughput in high and low inter-cell interference scenarios, respectively. Based on this observation, in this paper, we propose an algorithm for partitioning users into two disjoint sets comprising users that transmit TM and SP pilots. This selection of user sets is accomplished by minimizing the total inter-cell and intra-cell interference, and since this problem is found to be non-convex, a greedy approach is proposed to perform the partitioning. Based on simulations, it is shown that the proposed method is versatile and offers an improved performance in both high and low-interference scenarios.",
keywords = "hybrid system, Massive MIMO, pilot decontamination, pilot selection, superimposed pilots",
author = "Karthik Upadhya and Vorobyov, {Sergiy A.} and Mikko Vehkaper{\"a}",
year = "2017",
month = jun,
day = "16",
doi = "10.1109/ICASSP.2017.7952799",
language = "English",
isbn = "978-1-5090-4118-3",
series = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
pages = "3459--3463",
booktitle = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017",
address = "United States",
note = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 ; Conference date: 05-03-2017 Through 09-03-2017",
}