Title | ||
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Digital Self-Interference Cancellation Based on Blind Source Separation and Spectral Efficiency Analysis for the Full-Duplex Communication Systems. |
Abstract | ||
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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. |
Year | DOI | Venue |
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2018 | 10.1109/ACCESS.2018.2864112 | IEEE ACCESS |
Keywords | Field | DocType |
Full-duplex communication system,self-interference cancellation,blind source separation,oversampling,EASI,spectral efficiency | Baseband,Nonlinear system,Computer science,Single antenna interference cancellation,Communications system,Radio frequency,Electronic engineering,Spectral efficiency,Blind signal separation,Distributed computing,Duplex (telecommunications) | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 2 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hua Yang | 1 | 3 | 1.81 |
hang zhang | 2 | 31 | 16.05 |
hang zhang | 3 | 31 | 16.05 |
Liu Yang | 4 | 2 | 0.40 |