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Radio environment maps can be a powerful tool for achieving efficient context-aware resource allocation in 5G heterogeneous networks. In this paper, we consider an heterogeneous network formed by a traditional cellular network and a wireless sensor network. The role of the wireless sensor network is to estimate the radio environment map of the cell using a geostatistical interpolation technique named...
Radio Environment Maps (REM) can be an essential tool for numerous applications in future 5G wireless networks. In this paper, we employ a popular geo-statistical method called ordinary kriging to estimate the REM of an area covered by a eNodeB equipped with multiple antennas. Wireless sensors are distributed over the area of interest and adaptive clusters of sensors are arranged in order to improve...
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