Blind Source Separation for Full-Duplex Systems: Potential and Challenges
KAUST DepartmentComputer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudia Arabia
Permanent link to this recordhttp://hdl.handle.net/10754/675007
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AbstractFull-duplex communications systems that transmit and receive simultaneously suffer self-interference due to the mixing of the transmitted signal and the weaker received signal at the same node. The problem becomes compounded in Multi-Input Multi-Output (MIMO) systems, where considerable overhead is dedicated to training. In this article, we discuss using blind source separation techniques, namely Independent Component Analysis (ICA) to reduce training overhead in MIMO in-band full-duplex wireless communication systems. Practical limitations are discussed and experimental results that compare ICA to traditional Least Square approaches are presented, showing the superiority of ICA, especially in low SNR regimes.
CitationFouda, M. E., Shen, C.-A., & Eltawil, A. E. (2021). Blind Source Separation For Full-Duplex Systems: Potential and Challenges. IEEE Open Journal of the Communications Society, 2, 1379–1389. doi:10.1109/ojcoms.2021.3086105
SponsorsThis work was support in part by National Science Foundation under Award 1710746.
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