Measurement-based spectrum database with mesh clustering

Rei Hasegawa, T. Fujii
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引用次数: 1

Abstract

A spectrum database is a radio propagation estimation tool for the spectrum sharing. Especially, measurement-based spectrum database (MSD) can achieve highly efficient spectrum sharing by utilizing statistics of the received power transmitted from a primary user (PU). However, the accuracy of the statistics deteriorates when local bias of the observation point in the square mesh or short range power value variation due to the influence of terrain and buildings. In this paper, we propose a method to determine the subject area of statistics by using the mesh clustering. Simulation results show that the error between the measured value and the statistics which is got by the proposed method is smaller than the conventional method even if only a small amount of data is stored on the spectrum database.
基于测量的网格聚类光谱数据库
频谱数据库是一种用于频谱共享的无线电传播估计工具。特别是基于测量的频谱数据库(MSD),通过统计主用户(PU)发送的接收功率,可以实现高效的频谱共享。然而,由于地形和建筑物的影响,方形网格中观测点的局部偏置或近距功率值发生变化时,统计结果的准确性会下降。本文提出了一种利用网格聚类确定统计主题区域的方法。仿真结果表明,在频谱数据库中存储少量数据的情况下,该方法的实测值与统计量之间的误差小于常规方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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