University of Oulu

V. Ivanov, Y. Jin, S. Choi, G. Destino, M. Mueck and V. Frascolla, "Highly efficient representation of reconfigurable code based on a radio virtual machine: Optimization to any target platform," 2017 25th European Signal Processing Conference (EUSIPCO), Kos, 2017, pp. 893-897. doi: 10.23919/EUSIPCO.2017.8081336

Highly efficient representation of reconfigurable code based on a radio virtual machine : optimization to any target platform

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Author: Ivanov, Vladimir1; Jin, Yong2; Choi, Seungwon2;
Organizations: 1State University of Aerospace Instrumentation, St. Petersburg, Russia
2Hanyang University, Korea
3University of Oulu, Finland
4INTEL, Germany
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-02


ETSI has developed a novel Software Radio Reconfiguration framework encompassing technical, certification and security solutions. Compared to legacy Software Reconfiguration technology, such as the Software Communications Architecture, the ETSI solution is designed for lowest overall power consumption and efficiency. For this purpose, a novel approach for Code Portability has been developed — a Radio Virtual Machine based mechanism allows converting a given algorithm into a generic representation, which is then, optimized for the specific hardware resources available on a target platform. This contribution explains the basic principles and outlines how Code Portability is achieved while meeting the objectives in terms of power consumption and complexity.

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Series: European Signal Processing Conference
ISSN: 2219-5491
ISSN-E: 2076-1465
ISSN-L: 2219-5491
ISBN: 978-0-9928626-7-1
ISBN Print: 978-1-5386-0751-0
Pages: 893 - 897
DOI: 10.23919/EUSIPCO.2017.8081336
Host publication: 2017 25th European Signal Processing Conference (EUSIPCO)
Conference: European Signal Processing Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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