TY - GEN
T1 - Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems
AU - Shen, Chung An
AU - Fouda, Mohammed E.
AU - Lu, Hsi Hung
AU - Eltawil, Ahmed
N1 - KAUST Repository Item: Exported on 2022-04-14
Acknowledgements: The authors gratefully acknowledge support from the National Science Foundation, US under award number 1710746.
PY - 2021/10/31
Y1 - 2021/10/31
N2 - This paper presents a self-interference cancellation approach for a MIMO in-band full-duplex system based on blind source separation (BSS). Specifically, the proposed approach consists of a BSS stage followed by a MIMO detection stage. BSS suppresses the interference from the transmit chain whereas the MIMO detection removes the interference caused by the wireless channel. Furthermore, this paper presents a technique that can improve the performance of the BSS by mitigating the effects of nonlinearity. The detailed analyses and experimental results verify the suppression of interference by the proposed scheme.
AB - This paper presents a self-interference cancellation approach for a MIMO in-band full-duplex system based on blind source separation (BSS). Specifically, the proposed approach consists of a BSS stage followed by a MIMO detection stage. BSS suppresses the interference from the transmit chain whereas the MIMO detection removes the interference caused by the wireless channel. Furthermore, this paper presents a technique that can improve the performance of the BSS by mitigating the effects of nonlinearity. The detailed analyses and experimental results verify the suppression of interference by the proposed scheme.
UR - http://hdl.handle.net/10754/676244
UR - https://ieeexplore.ieee.org/document/9723193/
UR - http://www.scopus.com/inward/record.url?scp=85127063291&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF53345.2021.9723193
DO - 10.1109/IEEECONF53345.2021.9723193
M3 - Conference contribution
SN - 9781665458283
SP - 993
EP - 997
BT - 2021 55th Asilomar Conference on Signals, Systems, and Computers
PB - IEEE
ER -