@inproceedings{037a5e78981f4f6083b42aa676f57bc3,
title = "Signal Detection in Cell-Free Massive MIMO Systems",
abstract = "This paper presents a distributed signal detection scheme for cell-free massive MIMO systems, leveraging multi-shot weighted combining to optimize local detection at APs and central fusion at the CPU. We compare this approach with traditional network MIMO and single-iteration schemes, demonstrating improved detection accuracy through iterative interactions between APs and the CPU. The proposed method employs regularization to refine signal estimation, capitalizing on aggregated signals from previous iterations. Our numerical results show rapid convergence and superior performance over one-shot combining schemes, highlighting the effectiveness of our strategy in enhancing transmission signal estimation for future wireless communication networks.",
keywords = "cell-free mMIMO, combined signal, component, distributed MIMO, multi-shot",
author = "Yaqi Tian and Xuesong Pan and Zhong Zheng",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 5th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2025 ; Conference date: 10-01-2025 Through 12-01-2025",
year = "2025",
doi = "10.1109/NNICE64954.2025.11064600",
language = "English",
series = "2025 5th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "860--863",
booktitle = "2025 5th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2025",
address = "United States",
}