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A Novel Self-Interference Cancellation Method Using an Optimized LMS Algorithm in CCFD Systems for a 5G Communication Network

School of Electrical Engineering, Northeast Electric Power University, NO.169 ChangChun Road, ChuanYing District, Jilin 132012, China
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Appl. Sci. 2019, 9(16), 3308; https://doi.org/10.3390/app9163308
Received: 4 July 2019 / Revised: 7 August 2019 / Accepted: 8 August 2019 / Published: 12 August 2019
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Abstract

The Co-frequency Co-time Full Duplex (CCFD) is a key concept in 5G wireless communication networks. The biggest challenge for CCFD wireless communication is the strong self-interference (SI) from near-end transceivers. Aiming at cancelling the SI of near-end transceivers in CCFD systems in the radio frequency (RF) domain, a novel time-varying Least Mean Square (LMS) adaptive filtering algorithm which is based on step-size parameters gradually decrease with time varying called the DTV-LMS algorithm is proposed in this paper. The proposed DTV-LMS algorithm in this paper establishes the non-linear relationship between step factor and the evolved arct-angent function, and using the relationship between the time parameter and error signal correlation value to coordinately control the step factor to be updated. This algorithm maintains a low computational complexity. Simultaneously, the DTV-LMS algorithm can also attain the ideal characteristics, including the interference cancellation ratio (ICR), convergence speed, and channel tracking, so that the SI signal in the RF domain of a full duplex system can be effectively cancelled. The analysis and simulation results show that the ICR in the RF domain of the proposed algorithm is higher than that in the compared algorithms and have a faster convergence speed. At the same time, the channel tracking capability has also been significantly enhanced in CCFD systems. View Full-Text
Keywords: Co-time Co-frequency Full Duplex (CCFD); self-interference (SI) signal cancellation; RF domain; optimize Least Mean Square (LMS) algorithm; interference cancellation ratio (ICR) Co-time Co-frequency Full Duplex (CCFD); self-interference (SI) signal cancellation; RF domain; optimize Least Mean Square (LMS) algorithm; interference cancellation ratio (ICR)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Sun, Z.-Y.; Zhao, Y.-J. A Novel Self-Interference Cancellation Method Using an Optimized LMS Algorithm in CCFD Systems for a 5G Communication Network. Appl. Sci. 2019, 9, 3308.

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