论文标题
关键电信网络经验罪的大偏差原理
Large Deviation Principle for Empirical SINR Measure of Critical Telecommunication Networks
论文作者
论文摘要
对于\ emph {powered泊松过程}，我们将\ emph {信号到interference-plus-noise比率}（sinr）和thesinr网络作为电信网络。我们定义了一类电信网络的经验度量（\ emph {经验有能力的度量}，\ emph {经验链接度量}和\ emph {经验性sinr措施}）。对于这类电信网络，我们证明了电信网络的经验度量的共同大偏差原则。我们所有的速率功能均以相对熵表示。
For a \emph{ powered Poisson process}, we define \emph{Signal-to-Interference-plus-Noise Ratio}(SINR) and thesinr network as a Telecommunication Network. We define the Empirical Measures (\emph{empirical powered measure}, \emph{empirical link measure} and \emph{empirical sinr measure}) of a class of Telecommunication Networks. For this class of Telecommunication Network we prove a joint large deviation principle for the empirical measures of the Telecommunication Networks. All our rate functions are expressed in terms of relative entropies.
