Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio

Mona Aghababaeetafreshi; Matias Koskela; Dani Korpi; Pekka Jääskeläinen; Mikko Valkama; Jarmo Takala

doi:10.1109/GlobalSIP.2016.7905939

Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio

Mona Aghababaeetafreshi, Matias Koskela, Dani Korpi, Pekka Jääskeläinen, Mikko Valkama, Jarmo Takala

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

8 Citations (Scopus)

Abstract

Inband full-duplex radio transceivers offer enhanced spectral efficiency by transmitting and receiving simultaneously at the same frequency. However, deployment of such systems is challenging due to the inherent self-interference stemming from coupling of the transmit signal to the receiver. Furthermore, to track changes in the time-varying self-interference channel, the process needs to be self-adaptive. Thus, advanced solutions are required to efficiently mitigate the self-interference. With the current rise in parallel architectures due to limitations of performance enhancement by higher clock frequencies, multi-core platforms are considered as viable solutions for implementing such advanced techniques. This paper describes a programmable implementation of an adaptive nonlinear digital self-interference cancellation method for full-duplex transceivers on two mobile GPUs and a multi-core CPU. The results demonstrate the feasibility of realizing a real-time software-based implementation of digital self-interference cancellation on a mobile GPU, in case of a 20 MHz cancellation bandwidth.

Original language	English
Title of host publication	2016 IEEE Global Conference on Signal and Information Processing
Publisher	IEEE
Pages	733-737
ISBN (Electronic)	978-1-5090-4544-0
DOIs	https://doi.org/10.1109/GlobalSIP.2016.7905939
Publication status	Published - 2016
Publication type	A4 Article in conference proceedings
Event	IEEE Global Conference on Signal and Information Processing - Duration: 1 Jan 1900 → …

Conference

Conference	IEEE Global Conference on Signal and Information Processing
Period	1/01/00 → …

Publication forum classification

Publication forum level 1

Access to Document

10.1109/GlobalSIP.2016.7905939

Cite this

Aghababaeetafreshi, M., Koskela, M., Korpi, D., Jääskeläinen, P., Valkama, M., & Takala, J. (2016). Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio. In 2016 IEEE Global Conference on Signal and Information Processing (pp. 733-737). IEEE. https://doi.org/10.1109/GlobalSIP.2016.7905939

@inproceedings{ba12ae0b4cd343969e507b9b9c0c92f8,

title = "Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio",

abstract = "Inband full-duplex radio transceivers offer enhanced spectral efficiency by transmitting and receiving simultaneously at the same frequency. However, deployment of such systems is challenging due to the inherent self-interference stemming from coupling of the transmit signal to the receiver. Furthermore, to track changes in the time-varying self-interference channel, the process needs to be self-adaptive. Thus, advanced solutions are required to efficiently mitigate the self-interference. With the current rise in parallel architectures due to limitations of performance enhancement by higher clock frequencies, multi-core platforms are considered as viable solutions for implementing such advanced techniques. This paper describes a programmable implementation of an adaptive nonlinear digital self-interference cancellation method for full-duplex transceivers on two mobile GPUs and a multi-core CPU. The results demonstrate the feasibility of realizing a real-time software-based implementation of digital self-interference cancellation on a mobile GPU, in case of a 20 MHz cancellation bandwidth.",

author = "Mona Aghababaeetafreshi and Matias Koskela and Dani Korpi and Pekka J{\"a}{\"a}skel{\"a}inen and Mikko Valkama and Jarmo Takala",

year = "2016",

doi = "10.1109/GlobalSIP.2016.7905939",

language = "English",

pages = "733--737",

booktitle = "2016 IEEE Global Conference on Signal and Information Processing",

publisher = "IEEE",

address = "United States",

note = "IEEE Global Conference on Signal and Information Processing ; Conference date: 01-01-1900",

}

Aghababaeetafreshi, M, Koskela, M, Korpi, D, Jääskeläinen, P , Valkama, M & Takala, J 2016, Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio. in 2016 IEEE Global Conference on Signal and Information Processing. IEEE, pp. 733-737, IEEE Global Conference on Signal and Information Processing, 1/01/00. https://doi.org/10.1109/GlobalSIP.2016.7905939

Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio. / Aghababaeetafreshi, Mona; Koskela, Matias; Korpi, Dani et al.
2016 IEEE Global Conference on Signal and Information Processing. IEEE, 2016. p. 733-737.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio

AU - Aghababaeetafreshi, Mona

AU - Koskela, Matias

AU - Korpi, Dani

AU - Jääskeläinen, Pekka

AU - Valkama, Mikko

AU - Takala, Jarmo

PY - 2016

Y1 - 2016

N2 - Inband full-duplex radio transceivers offer enhanced spectral efficiency by transmitting and receiving simultaneously at the same frequency. However, deployment of such systems is challenging due to the inherent self-interference stemming from coupling of the transmit signal to the receiver. Furthermore, to track changes in the time-varying self-interference channel, the process needs to be self-adaptive. Thus, advanced solutions are required to efficiently mitigate the self-interference. With the current rise in parallel architectures due to limitations of performance enhancement by higher clock frequencies, multi-core platforms are considered as viable solutions for implementing such advanced techniques. This paper describes a programmable implementation of an adaptive nonlinear digital self-interference cancellation method for full-duplex transceivers on two mobile GPUs and a multi-core CPU. The results demonstrate the feasibility of realizing a real-time software-based implementation of digital self-interference cancellation on a mobile GPU, in case of a 20 MHz cancellation bandwidth.

AB - Inband full-duplex radio transceivers offer enhanced spectral efficiency by transmitting and receiving simultaneously at the same frequency. However, deployment of such systems is challenging due to the inherent self-interference stemming from coupling of the transmit signal to the receiver. Furthermore, to track changes in the time-varying self-interference channel, the process needs to be self-adaptive. Thus, advanced solutions are required to efficiently mitigate the self-interference. With the current rise in parallel architectures due to limitations of performance enhancement by higher clock frequencies, multi-core platforms are considered as viable solutions for implementing such advanced techniques. This paper describes a programmable implementation of an adaptive nonlinear digital self-interference cancellation method for full-duplex transceivers on two mobile GPUs and a multi-core CPU. The results demonstrate the feasibility of realizing a real-time software-based implementation of digital self-interference cancellation on a mobile GPU, in case of a 20 MHz cancellation bandwidth.

U2 - 10.1109/GlobalSIP.2016.7905939

DO - 10.1109/GlobalSIP.2016.7905939

M3 - Conference contribution

SP - 733

EP - 737

BT - 2016 IEEE Global Conference on Signal and Information Processing

PB - IEEE

T2 - IEEE Global Conference on Signal and Information Processing

Y2 - 1 January 1900

ER -

Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio

Abstract

Conference

Publication forum classification

Access to Document

Fingerprint

Cite this