@inproceedings{06aa000a413447d8a669db214ddc1201,
title = "Channel Estimation Using In-Band Pilots for Cell-Free Massive MIMO",
abstract = "In this paper, a novel channel estimation technique using in-band pilots (IBPs) for uplink transmission is proposed for cell-free (CF) massive multiple-input multiple-output (MIMO) networks. In particular, compared to traditional superimposed pilot schemes in the time domain, the proposed IBP scheme is operated in the frequency domain, which is more effective and robust due to the removal of interference from the data frequen-cies at the pilot location. We first introduce a system model for the CF massive MIMO with the IBP design. Then, analytical expressions for the mean square error and the normalized mean square error (NMSE) are derived for performance evaluation. Analytical and simulated results reveal that the proposed IBP scheme for CF MIMO outperforms the conventional regular and superimposed pilots in terms of NMSE. Besides, other important insights include the IBP scheme works well in high transmit power regions, and this new channel estimation strategy is more suitable for the scenario with a large number of users since it is not that sensitive to the number of users.",
keywords = "cell-free massive MIMO, channel estimation, in-band pilots, NMSE, superim-posed pilots",
author = "Lam, \{Chan Tong\} and Ke Wang and Ng, \{Benjamin K.\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Virtual Conference on Communications, VCC 2023 ; Conference date: 28-11-2023 Through 30-11-2023",
year = "2023",
doi = "10.1109/VCC60689.2023.10474840",
language = "English",
series = "2023 IEEE Virtual Conference on Communications, VCC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "200--205",
booktitle = "2023 IEEE Virtual Conference on Communications, VCC 2023",
address = "United States",
}