Abstract
In-Band Full-Duplex is a powerful technique which theoretically doubles the spectral efficiency. It significantly contributes to the ever-increasing demand for high data rate and good connectivity of future communication systems. Self-Interference from the transceiver is the most challenging issue in In-Band Full-Duplex system implementation. In the presence of transmitter power amplifier non-linearity and phase noise in local oscillator, cancellation of the self-interference becomes more complex. In this paper, a detailed comparative study of two major Digital Self-Interference Cancellation techniques namely, Least Squares method based Dynamic Regression for Nonlinear Digital Self-Interference Cancellation and Least Mean Squares based Adaptive Nonlinear Digital Self Interference Cancellation is done. The study of the algorithms is done with Orthogonal Frequency Division Multiplexing that uses a bit-interleaved coded modulation system. The performance of the algorithms is studied in terms of bit error rate, convergence time and computation complexity in the presence of time varying fading channel with power amplifier non-linearity and phase noise.
Similar content being viewed by others
References
Duarte, M., Dick, C., & Sabharwal, A. (2012). Experiment-driven characterization of full-duplex wireless systems. IEEE Transactions on Wireless Communications,11(12), 4296–4307.
Bharadia, D., Mcmilin, E., & Katti, S. (2013). Full duplex radios. In: Proceedings of the ACM SIGCOMM (pp. 375–386).
An, C., & Ryu, H. G. (2017). Digital balanced feed network for the self-interference cancellation in full duplex communication system. Wireless Personal Communications,92, 1599–1610. https://doi.org/10.1007/s11277-016-3624-y.
Shen, Y., Zhou, J., & Tang, Y. (2015). Digital self-interference cancellation in wireless co-time and co-frequency full-duplex system. Wireless Personal Communications,82, 2557. https://doi.org/10.1007/s11277-015-2364-8.
Zhang, Z., Long, K., Vasilakos, A. V., & Hanzo, L. (2016). Full-duplex wireless communications: Challenges solutions and future research directions. Proceedings of the IEEE,104(7), 1369–1409.
Lin, Y.-H., Liao, Y.-T., Chu, J.-Y., Su, P.-J., & Hsu, T.-Y. (2016). Digital self-interference cancellation via dynamic regression for in-band full-duplex system. In: Proceedings of the IEEE 5th global conference on consumer electronics (pp. 1–3).
Korpi, D., Choi, Y.-S., Huusari, T., Anttila, S., Talwar, L., Valkama, M. (2015). Adaptive nonlinear digital self-interference cancellation for mobile inband full-duplex radio: Algorithms and RF measurement. In: Proceedings of the IEEE global communications conference (GLOBECOM) (pp. 1–7).
Korpi, D., Huusari, T., Choi, Y., Anttila, L., Talwar, S., & Valkama, M. (2015). Digital self-interference cancellation under nonideal RF components: Advanced algorithms and measured performance. In: Proceedings of the IEEE 16th international workshop on signal processing advances in wireless communications (SPAWC) (pp. 286–290).
Bohara, V. A., & Ting, S. H. (2009). Analytical performance of frequency division multiplexing systems impaired by a non-linear high-power amplifier with memory. IET Communications,3(10), 1659–1666.
Rapp, C. (1991). Effects of the HPA-nonlinearity on a 4-DPSK/OFDM signal for a digital sound broadcasting system. In: Proceedings of the Second European Conference on Satellite Communications, Liege, Belgium (pp. 179–184).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Karthika, S., Manimekalai, T. & Laxmikandan, T. A Comparative Study of Digital Self-interference Cancellation Techniques in In-Band Full-Duplex OFDM Systems. Wireless Pers Commun 110, 31–44 (2020). https://doi.org/10.1007/s11277-019-06710-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-019-06710-6