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Frequency-Domain Successive Cancellation of Nonlinear Self-Interference With Reduced Complexity for Full-Duplex Radios.

Authors :
He, Yimin
Zhao, Hongzhi
Guo, Wenbo
Shao, Shihai
Tang, Youxi
Source :
IEEE Transactions on Communications; Apr2022, Vol. 70 Issue 4, p2678-2690, 13p
Publication Year :
2022

Abstract

Nonlinear self-interference (SI) cancellation is crucial for eliminating the impact of the transmitter-side nonlinearity on the comprehensive SI cancellation performance in full-duplex radios. However, in the propagation environment with rich reflection paths of signals, the number of the delayed taps required for time-domain nonlinear SI cancellation booms exponentially with the increase of the multi-path number, leading to unacceptable complexity. In this paper, a novel frequency-domain nonlinear SI canceller based on successive interference cancellation (SIC) technique is proposed for orthogonal frequency division multiplexing (OFDM) modulated full-duplex systems subjected to both transmitter nonlinearity and receiver nonlinearity. The proposed frequency-domain nonlinear SIC (FD-NSIC) cancels nonlinear components one by one via separately estimating the channel frequency response suffered by each order nonlinear component, which significantly relaxes the computational cost. Besides, to avoid the influence of the strong correlation between nonlinear components, orthogonalization is operated before SIC to white basis functions, which accelerates the convergence speed of the proposed FD-NSIC. Simulations are explicitly performed, showing that compared with the conventional frequency-domain nonlinear canceller based on recursive least squares (RLS) channel estimation, the proposed FD-NSIC is capable of canceling the SI to the noise floor with only 52% computational cost under 50 dB interference-to-noise ratio. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00906778
Volume :
70
Issue :
4
Database :
Complementary Index
Journal :
IEEE Transactions on Communications
Publication Type :
Academic Journal
Accession number :
156342896
Full Text :
https://doi.org/10.1109/TCOMM.2022.3148428