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Blind Source Separation For Full-Duplex Systems: Potential and Challenges
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DOI：10.1109/OJCOMS.2021.3086105.png)
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摘要
En 中文
Full-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.
Keyword:
Interference cancellation
MIMO communication
Receiving antennas
Channel estimation
Training
Blind source separation
Transmitting antennas
In-band full-duplex
cocktail party problem
self-interference
suppression
independent component analysis
blind source separation
MIMO
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被引数:
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