@inproceedings{55fc5b3375e74f5a8632e7563ac980e6,
title = "Digital self-interference cancellation via dynamic regression for in-band full-duplex system",
abstract = "For enhancing spectrum efficiency, in-band full-duplex technology is one of the candidate technical solution. But, self-interference (SI) signal causes dramatically degrade the performance. In practically, memory effect which cause harmonic in amplifier will be hard to be estimated. Therefore, we utilizes the dynamic regression (DR) to implement digital interference cancellation (DIC) for mitigate the memory effect. Two platforms are constructed to evaluate this mechanism. In both platforms, the SI signal could effectively reduction and the residual signal could be attenuated close to noise floor. In software-defined radio (SDR) platform also proves that the proposed dynamic regression based DIC (DRDIC) is sufficient to attenuate the SI signal, where successfully perform video streaming demonstration.",
keywords = "In-band full-duplex, dynamic regression, self-interference cancellation, software-defined radio",
author = "Lin, {You Hsien} and Liao, {Yuan Te} and Chu, {Jian Ya} and Su, {Po Ju} and Terng-Yin Hsu",
year = "2016",
month = dec,
day = "27",
doi = "10.1109/GCCE.2016.7800539",
language = "English",
series = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016",
address = "United States",
note = "5th IEEE Global Conference on Consumer Electronics, GCCE 2016 ; Conference date: 11-10-2016 Through 14-10-2016",
}