Digital Self-Interference Cancellation Based on Blind Source Separation and Spectral Efficiency Analysis for the Full-Duplex Communication Systems | Zendy

Hua Yang | Zendy; Hang Zhang | Zendy; Jiang Zhang | Zendy; Liu Yang | Zendy

Open Access

Digital Self-Interference Cancellation Based on Blind Source Separation and Spectral Efficiency Analysis for the Full-Duplex Communication Systems

Author(s) -

Hua Yang,

Hang Zhang,

Jiang Zhang,

Liu Yang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2864112

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In this paper, the fundamental problem for the full-duplex communication systems, i.e., self-interference cancellation (SIC), is investigated, and a novel digital-domain SIC method based on blind source separation is proposed. This method achieves SIC by separation and has two prominent characteristics that are: 1) it is a blind method, and no training sequence or time is needed and 2) it is unaffected by the nonlinear components of the self-interference signal. Meanwhile, the critical factors for spectral efficiency (SE) are fully analyzed herein. In the simulations, the performances of the proposed method, including SIC capacity, signal-to-interference-plus-noise ratio, SE, and SE gain, are comprehensively evaluated and compared with least-square-based SIC algorithms. These results show that the proposed algorithm can obtain considerable performances, even the best performance in some cases.

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