Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems
Permanent link to this recordhttp://hdl.handle.net/10754/676243
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AbstractThis 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.
CitationShen, C.-A., Fouda, M. E., Lu, H.-H., & Eltawil, A. (2021). Independent Component Analysis with Nonlinearity Mitigation for MIMO Full-Duplex Systems. 2021 55th Asilomar Conference on Signals, Systems, and Computers. https://doi.org/10.1109/ieeeconf53345.2021.9723193
SponsorsThe authors gratefully acknowledge support from the National Science Foundation, US under award number 1710746.
Conference/Event name55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021