@inproceedings{6dcf7bf15e9c48cdb0b0c3238b68e73d,
title = "Lightweight Digital Self-Interference Cancellation",
abstract = "As has been known, co-frequency co-time full-duplex transmission can double the bandwidth efficiency of half-duplex by overlapping the transmitted and received signals in frequency and time domains. While, for approaching the theoretical gain of doubling spectral efficiency, the self-interference (SI) should be canceled below the noise power. Toward achieving this goal, we analyze the key role of channel estimation and apply the least squares (LS) method. Then, multipath channel detection (MCD) is proposed to reduce the complexity of the LS algorithm. Simulation results show that the lightweight MCD method achieves the same accuracy as that of the LS method but requires less computational expenditure.",
keywords = "channel estimation, Co-frequency co-time full-duplex, complexity, correlation, least squares, self-interference cancellation",
author = "Lifeng Lin and Dongsheng Zheng and Jingze Ding and Bingli Jiao and Poor, {H. Vincent}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE/CIC International Conference on Communications in China, ICCC 2024 ; Conference date: 07-08-2024 Through 09-08-2024",
year = "2024",
doi = "10.1109/ICCC62479.2024.10681705",
language = "English (US)",
series = "2024 IEEE/CIC International Conference on Communications in China, ICCC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2095--2100",
booktitle = "2024 IEEE/CIC International Conference on Communications in China, ICCC 2024",
address = "United States",
}