@inproceedings{2dfcd4cc17a2409cbc2ff6e88cd8f618,
title = "Maximum Channel Coding Rate of Finite Block Length MIMO Faster-Than-Nyquist Signaling",
abstract = "The pursuit of higher data rates and efficient spectrum utilization in modern communication technologies necessitates novel solutions. In order to provide insights into improving spectral efficiency and reducing latency, this study investigates the maximum channel coding rate (MCCR) of finite block length (FBL) multiple-input multiple-output faster-than-Nyquist (FTN) channels. By optimizing power allocation, we derive the system's MCCR expression. Simulation results are compared with the existing literature to reveal the benefits of FTN in FBL transmission.",
keywords = "Faster-than-Nyquist, finite block length, maximum channel coding rate, multiple-input multiple-output",
author = "Zichao Zhang and Melda Yuksel and Halim Yanikomeroglu and Ng, {Benjamin K.} and Lam, {Chan Tong}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025 ; Conference date: 24-03-2025 Through 27-03-2025",
year = "2025",
doi = "10.1109/WCNC61545.2025.10978341",
language = "English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE Wireless Communications and Networking Conference, WCNC 2025",
address = "United States",
}