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Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings

Research Article

Understanding Current Background Noise Characteristics: Frequency and Time Domain Measurements of Noise on Multiple Locations

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  • @INPROCEEDINGS{10.1007/978-3-319-40352-6_37,
        author={Alexandros Palaios and Vanya Miteva and Janne Riihij\aa{}rvi and Petri M\aa{}h\o{}nen},
        title={Understanding Current Background Noise Characteristics: Frequency and Time Domain Measurements of Noise on Multiple Locations},
        proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings},
        proceedings_a={CROWNCOM},
        year={2016},
        month={6},
        keywords={Background noise characteristics Frequency and time domain measurements Noise on multiple locations Interference levels},
        doi={10.1007/978-3-319-40352-6_37}
    }
    
  • Alexandros Palaios
    Vanya Miteva
    Janne Riihijärvi
    Petri Mähönen
    Year: 2016
    Understanding Current Background Noise Characteristics: Frequency and Time Domain Measurements of Noise on Multiple Locations
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-40352-6_37
Alexandros Palaios1,*, Vanya Miteva1, Janne Riihijärvi1, Petri Mähönen1
  • 1: RWTH Aachen University
*Contact email: apa@inets.rwth-aachen.de

Abstract

One of the important factors for the successful deployment of cognitive radio networks is keeping interference levels to minimum to primary users. The noise is usually expected to be thermal noise and non-interesting component on understanding a complex interplay between primary and secondary systems. Moreover, although usually it is assumed that excess interference is generated by secondary users it is worth of remembering that also primary systems generate harmonics and intermodulation components that can harm other primary systems. In this paper we report results from the measurement campaign that aims to find out how much there is excess noise over thermal noise floor. The observed noise levels cast questions on the widely used assumptions that we need to consider only AWGN thermal noise. We conclude the paper showing that the observed excess noise levels can have an effect on the capacity of the primary and secondary systems.

Keywords
Background noise characteristics Frequency and time domain measurements Noise on multiple locations Interference levels
Published
2016-06-06
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-40352-6_37
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