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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2016 IEEE Global Conference on Signal and Information Processing
PublisherIEEE
Pages733-737
ISBN (Electronic)978-1-5090-4544-0
DOIs
Publication statusPublished - 2016
Publication typeA4 Article in a conference publication
EventIEEE Global Conference on Signal and Information Processing -
Duration: 1 Jan 1900 → …

Conference

ConferenceIEEE Global Conference on Signal and Information Processing
Period1/01/00 → …

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.

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