Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II

Research Article

Research on the Construction of Radio Environment Map (REM) Based on Spatial Interpolation

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  • @INPROCEEDINGS{10.1007/978-3-319-78139-6_41,
        author={Ran Zi and Jun Chang and Rong Zong and Ruonan Wang and Guiwen Liao},
        title={Research on the Construction of Radio Environment Map (REM) Based on Spatial Interpolation},
        proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II},
        proceedings_a={CHINACOM},
        year={2018},
        month={4},
        keywords={Radio Environment Map Cognitive Radio Spatial Interpolation},
        doi={10.1007/978-3-319-78139-6_41}
    }
    
  • Ran Zi
    Jun Chang
    Rong Zong
    Ruonan Wang
    Guiwen Liao
    Year: 2018
    Research on the Construction of Radio Environment Map (REM) Based on Spatial Interpolation
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-78139-6_41
Ran Zi1,*, Jun Chang1, Rong Zong1, Ruonan Wang1, Guiwen Liao1
  • 1: Yunnan University
*Contact email: 790354420@qq.com

Abstract

For the further performance improvement of Cognitive Radio systems, providing accurate or comprehensive information support to Cognitive Radio devices or networks, there is a use of “Radio Environment Map (REM)”, which presents multi-dimensional information of radio environments and scenarios. With the study of Spatial Interpolation, a method of constructing REM is proposed, and the performance of each algorithm is compared. Experiments show that the RMSM algorithm has advantages like high efficiency and low error, which can be used for the construction of REM.