Software Defined Radio Implementation of Adaptive Nonlinear Digital Self-interference Cancellation for Mobile Inband Full-Duplex Radio
Tutkimustuotos › › vertaisarvioitu
Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | 2016 IEEE Global Conference on Signal and Information Processing |
| Kustantaja | IEEE |
| Sivut | 733-737 |
| ISBN (elektroninen) | 978-1-5090-4544-0 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2016 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING - Kesto: 1 tammikuuta 1900 → … |
Conference
| Conference | IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING |
|---|---|
| Ajanjakso | 1/01/00 → … |
Tiivistelmä
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.