On the time dynamics of commercial networks with comparable data sets across europe

Alexandros Palaios, Janne Riihijärvi, P. Mähönen, V. Atanasovski, L. Gavrilovska, P. V. Wesemael, A. Dejonghe, P. Scheele
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Abstract

In this paper we present results on the time dynamics of the most used cellular bands, from the measurement campaign conducted in seven European cities. Special attention was given on acquiring comparable datasets between the different measurement locations. We provide detailed examples of how much variability there is in the measured activity and we also test the validity of common assumptions usually found in the literature. In particular, we show that the spectrum occupancy metrics exhibit significant degree of stationarity in all the measurement locations and in all of the frequency bands studied. We also characterize in detail the influence of the diurnal cycle, i.e., the differences in spectrum use during different times of day. In addition to raw spectrum occupancy metrics, we study the structure of the ON/OFF activity patterns for cellular bands. Our results show that the ON and OFF period durations in our data sets have significantly heavier tails than predicted by the commonly used Markov models.
利用欧洲各地可比数据集研究商业网络的时间动态
在本文中,我们介绍了在七个欧洲城市进行的测量活动中最常用的蜂窝频段的时间动态结果。特别注意获取不同测量地点之间的可比数据集。我们提供了在测量活动中有多少可变性的详细例子,我们还测试了通常在文献中发现的常见假设的有效性。特别是,我们表明频谱占用指标在所有测量位置和所研究的所有频带中表现出显著的平稳性。我们还详细描述了昼夜周期的影响,即一天中不同时间频谱使用的差异。除了原始频谱占用指标外,我们还研究了蜂窝频段的ON/OFF活动模式的结构。我们的结果表明,我们的数据集中的ON和OFF周期持续时间比常用的马尔可夫模型预测的要重得多。
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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