期刊
IEEE TRANSACTIONS ON MOBILE COMPUTING
卷 11, 期 6, 页码 1033-1046出版社
IEEE COMPUTER SOC
DOI: 10.1109/TMC.2011.128
关键词
Spectrum measurement; channel vacancy duration; service congestion rate; spectrum usage prediction; frequent pattern mining; FPM-2D; spectral correlation; spatial correlation
资金
- RGC [CERG 623209, 622410]
- Huawei-HKUST Joint Lab
- National Natural Science Foundation of China [60933012, 60632030]
- Major State Basic Research Development Program of China (973 Program) [2011CB302900]
- National High Technology Research and Development Program of China (863 Program) [2006AA04A106]
- US National Science Foundation [CCF-0910765]
Dynamic spectrum access has been a subject of extensive study in recent years. The increasing volume of literatures calls for a deeper understanding of the characteristics of current spectrum utilization. In this paper, we present a detailed spectrum measurement study, with data collected in the 20 MHz to 3 GHz spectrum band and at four locations concurrently in Guangdong province of China. We examine the statistics of the collected data, including channel vacancy statistics, channel utilization within each individual wireless service, and the spectral and spatial correlation of these measures. Main findings include that the channel vacancy durations follow an exponential-like distribution, but are not independently distributed over time, and that significant spectral and spatial correlations are found between channels of the same service. We then exploit such spectrum correlation to develop a 2D frequent pattern mining algorithm that can predict channel availability based on past observations with considerable accuracy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据