Effective method of pathloss fitting with azimuth variable for white space boundary estimation

This paper proposes a method of pathloss fitting by deciding the prediction formula as a function of azimuth, which is centered at a transmission source of incumbent system. We are studying the framework of white space boundary estimation with a smaller number of sensors. The framework decides the white space boundary by estimating coverage of incumbent radio systems with positions of transmission sources and predicted pathloss. To realize high accuracy estimation of white space boundary, a sophisticated method of pathloss fitting with a smaller number of sensors is required. The proposed method decides the prediction formula continuously for every azimuth with utilizing sensing data efficiently to meet the requirements.