Abstract
Electromagnetic spectrum, the main medium of wireless communication has been over-crowded. Accompanied by the arrival of big data era, the problem of the spectrum scarcity has received people’s attention. The emergence of cognitive radio improves the utilization of the spectrum and provides an effective solution to break the limitations of the traditional static allocation. Radio Environmental Maps (REM) is an enabling technology of cognitive radio which can be intuitive, multi-dimensional display of spectrum information. It provides a visual basis while accessing dynamic spectrum and sharing spectrum. In this paper, the various aspects of REM are studied from the perspective of cognitive radio. Based on the concept of REM, the recent research progress of REM is summarized, and a series of challenges in the construction of spectrum pattern are also highlighted.
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This work is supported by the National Natural Science Foundation of China (No. 61631020 and No. 61501510).
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Li, J., Ding, G., Zhang, X., Wu, Q. (2018). Recent Advances in Radio Environment Map: A Survey. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_25
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DOI: https://doi.org/10.1007/978-3-319-73564-1_25
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