协同MME(最大到最小特征值)频谱感知方法在认知无线电中的能量效率

Syarifah Muthia Putri, Ir Sugihartono
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引用次数: 5

摘要

认知无线电是克服频谱限制的一种方法。认知无线电用户可以通过检测频谱来利用未被使用的频谱(空白区域)。频谱感知是定期进行的,以确保没有干扰,从这个意义上说,频谱感知活动在认知无线电中会增加能量消耗。因此,在认知无线电技术中,能源效率是非常重要的考虑因素。本研究是基于协同MME (Maximum to Minimum Eigenvalue,最大到最小特征值)频谱感知方法的认知无线电能量效率研究。当主用户正在使用当前信道时,通过寻找用户等待或切换/切换到另一个信道的概率的最优值来实现能源效率。不依赖于噪声不确定性的协同MME频谱感知检测方法比能量检测方法表现出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy efficiency in cognitive radio with cooperative MME (Maximum to Minimum Eigenvalue) spectrum sensing method
Cognitive radio is one way to overcome the limitations of the frequency spectrum. Cognitive radio users can utilize the frequency spectrum that is not being used (white space) by detect the frequency spectrum. Spectrum sensing is done periodically to ensure there is no interference, in that sense spectrum sensing activity in cognitive radio will increase energy consumption. Therefore, energy efficiency is very important to consider in cognitive radio technology. This research is study on energy efficiency in cognitive radio with cooperative MME (Maximum to Minimum Eigenvalue) spectrum sensing method. Energy efficiency is implemented by finding the optimal values of probability of a user wait or switch/handoff to another channel while the primary user is using the current channel. Cooperative MME spectrum sensing detection process which is not depend on the uncertainty of noise shows better performance than the energy detection method.
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