Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation

WANG Dan; HUANG Kaizhi; LI Yunzhou

doi:10.11999/JEIT160291

Volume 39 Issue 1

Jan. 2017

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WANG Dan, HUANG Kaizhi, LI Yunzhou. Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation[J]. Journal of Electronics & Information Technology, 2017, 39(1): 24-30. doi: 10.11999/JEIT160291

Citation:

WANG Dan, HUANG Kaizhi, LI Yunzhou. Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation[J]. Journal of Electronics & Information Technology, 2017, 39(1): 24-30. doi: 10.11999/JEIT160291

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Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation

doi: 10.11999/JEIT160291

1.
2.
(National Digital Switching System Engineering &

Funds:

The National 973 Program of China (2013CB329002), The National 863 Program of China (2014AA01A703), The National Major Project (2014ZX03003002-002), The Program for New Century Excellent Talents in University (NCET-13-0321), The National Natural Science Foundation of Innovation Group (61321061)

Received Date: 2016-03-28
Rev Recd Date: 2016-09-06
Publish Date: 2017-01-19

Abstract

Abstract

In-band full duplex is a key concept brought up in 5G, and digital Self-Interference (SI) cancellation has become an important field attracting much attention. SI channel estimation error introduced by nonlinear distortion leads to deleterious effect on the accurate estimation of distortion coefficient. This paper proposes a nonlinear SI cancellation algorithm based on an auxiliary symbol. The channel estimation error is mapped into cancellation residuals by performing SI cancellation for the designed auxiliary symbol, and then extracted to be an independent attributor for distortion coefficient estimation. A simplified implementation is proposed further for reducing the overhead of the algorithm. Simulation results show that the nonlinear SI component is suppressed to about -100 dBm with -5 dBm SI power received. In addition, the lower the received SI power is, the better the performance tends to be.
- 5G,
- In-band full duplex,
- Digital Self-Interference (SI) cancellation,
- Nonlinear distortion estimation

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References(20)

References

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