7th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Reliability of a Radio Environment Map: Case of Spatial Interpolation Techniques

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2012.248452,
        author={Daniel Denkovski and Vladimir Atanasovski and Liljana Gavrilovska and Janne Riihij\aa{}rvi and Petri M\aa{}h\o{}nen},
        title={Reliability of a Radio Environment Map: Case of Spatial Interpolation Techniques},
        proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={7},
        keywords={environmental map (rem) radio interference field (rif) spatial interpolation idw reliability},
        doi={10.4108/icst.crowncom.2012.248452}
    }
    
  • Daniel Denkovski
    Vladimir Atanasovski
    Liljana Gavrilovska
    Janne Riihijärvi
    Petri Mähönen
    Year: 2012
    Reliability of a Radio Environment Map: Case of Spatial Interpolation Techniques
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2012.248452
Daniel Denkovski1,*, Vladimir Atanasovski1, Liljana Gavrilovska1, Janne Riihijärvi2, Petri Mähönen2
  • 1: Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje
  • 2: Institute for Networked Systems, RWTH Aachen University
*Contact email: danield@feit.ukim.edu.mk

Abstract

Recent advances in radio environmental mapping enable novel practical and efficient cognitive radio and dynamic spectrum access solutions. A crucial aspect of such solutions is to ensure the reliability of the constructed Radio Environmental Maps (REMs). Especially important is the accurate and up-to-date Radio Interference Field (RIF) estimation based on distributed spectrum use measurements. This paper analyzes the use of spatial interpolation techniques that allow robust, yet sufficiently reliable, RIF estimation from a limited number of field measurements. Several spatial interpolation techniques based on Inverse Distance Weighting (IDW) are analyzed and compared in terms of reliability bounds of the interpolation errors for an indoor environment. Performance evaluation using REM prototype implementation and a wireless testbed shows that the spatial interpolation techniques can provide a robust and reliable RIF estimation within the entire REM concept.