认知无线电网络中频谱感知能耗的建模研究

Modeling of Spectrum Sensing Energy Consumption in Cognitive Radio Networks

在认知无线电网络中,频谱感知过程的能量消耗是研究热点。提出一种基于泊松过程可用于统计干扰受限下的能量消耗进行建模,获得频谱感知能量消耗。频谱感知能量作为认知无线电网络的次要用户数量、空间密度和跳数的函数,可以建模为伽玛截断分布。将该模型用于时域感知、空域感知以及时域-空域联合感知在频谱感知过程中认知用户的能量消耗统计分析,仿真及分析结果表明了该模型的科学合理性。

In cognitive radio networks, the energy consumption in the process of spectrum sensing is the hot spot of research. A unified framework for modeling based on Poisson process was developed which could be used even under interference limited to count the energy consumption, thereby obtaining a spectrum sensing energy consumption. Spectrum sensing energy as the function of the number of secondary users in cognitive radio networks, their spatial density and the number of hops, could be modelled as a truncated gamma distribution. This model is used to statistically analyze cognitive users＇ energy consumption in the process of spectrum sensing under the circumstance of temporal perception, spatial perception and temporal - spatial joint perception. Simulation and analysis results show that the model is of scientific rationality.