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

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

Standard

Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio. / Aghababaeetafreshi, Mona; Koskela, Matias; Korpi, Dani; Jääskeläinen, Pekka ; Valkama, Mikko ; Takala, Jarmo.

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

Bibtex - Download

@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",

}

RIS (suitable for import to EndNote) - Download

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

ER -

TUTCRIS Research Portal