An Efficient Iterative SIC for Full-Duplex SC-FDE Radio under Hardware Impairments

Date

2021-06-01

Author

Kurt, Anıl
Salman, Murat Babek
Güvensen, Gökhan Muzaffer

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In this study, a novel iterative turbo digital self interference cancellation (DSIC) algorithm is proposed to eliminate remaining self interference (SI) signal, which is contaminated by signal of interest (SoI), subject to time varying SI channel. SoI creates a noise floor for the estimation of SI signal; hence, estimation accuracy significantly degrades. In order to improve the estimation accuracy, it is proposed that for each block, SoI is decoded via signal decomposition based on generalized memory polynomial (GMP) and neural network (NN) nonlinear regressors and its copy subtracted from received signal iteratively so that SoI contamination is decreased. This procedure is performed in an online manner during data transmission stage; therefore, it does not yield extra training overhead. In addition, since each block is processed independently, the proposed algorithm can track varying channel efficiently. Both numerical results and hardware implementations are presented to demonstrate the effectiveness of the proposed algorithm.

Subject Keywords

Turbo DSIC, Nonlinear DSIC

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85115686553&origin=inward
https://hdl.handle.net/11511/93933

DOI

https://doi.org/10.1109/icc42927.2021.9500602

Conference Name

2021 IEEE International Conference on Communications, ICC 2021

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. Kurt, M. B. Salman, and G. M. Güvensen, “An Efficient Iterative SIC for Full-Duplex SC-FDE Radio under Hardware Impairments,” presented at the 2021 IEEE International Conference on Communications, ICC 2021, Virtual, Online, Kanada, 2021, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85115686553&origin=inward.