多主用户环境下基于HMM的频谱数据库构建与频谱共享

Yuya Aoki, T. Fujii
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引用次数: 0

摘要

近年来,基于测量的频谱数据库(SD)成为许多研究人员关注的焦点,该数据库利用频谱感知获得的实际接收功率,实现高效的频谱共享。本文在多台发射机开/关切换的环境下,提出了一种频谱共享方法,并验证了误差对SD构建的影响。SD是通过将多个传感器放置在无线电环境中进行频谱感知,并通过隐马尔可夫模型(HMM)对学习结果进行统计处理来构建的。在该方法中,利用频谱共享与SD相结合,可以高效地复用时空白色空间。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectrum Database Construction based on HMM and Spectrum Sharing in Multiple Primary Users Environment
In recent years, many researchers focus on a measurement-based spectrum database (SD) that utilizes the actual received power obtained by spectrum sensing as an enabler for an efficient spectrum sharing. In this paper, in an environment where multiple transmitters are switched ON/OFF, we propose a spectrum sharing method and verify the influence of error at SD construction. SD is constructed by placing multiple sensors in the radio environment for performing spectrum sensing and statistically processing the result of learning by Hidden Markov Model (HMM). In the proposed method, it is possible to reuse temporal and spatial white space with high efficiency by using spectrum sharing in cooperation with SD. The simulation results confirm the effectiveness of the proposed method.
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