隨著移動裝置使用者對於流量的需求增加，以往的網路架構已經不堪負荷，因此小型且高密度的基地台分布就誕生了，雖然解決了流量需求問題，但卻增加了能源上的消耗。對於地球來說，增加能源消耗是非常不樂見的現象，為了解決這個問題，勢必減少網路整體的電能消耗，在網路能源使用中，其中又以基地台的能源使用最為最大宗，因此即可從此下手。

各種節能方式也因應而生，不管是硬體、軟體又或者是策略，都需要透過犧牲某些事情來達成，其中，讓基地台睡眠是成本較小的方法，雖然主要是針對離峰時間去執行，但卻很有效。在基地台分析中，隨機幾何(Stochastic Geometry)是個非常方便的工具，快速描繪出一整個網路架構，進而縮短研究時間，然而，將隨機幾何實做在睡眠策略上卻是少之又少，我們將提供個建立在數學以及模擬雙管齊下的優良方法，來透過睡眠改善整體基地台的能源消耗。

As mobile device users’ demand for traffic increases, the previous network architecture has become overwhelmed. Therefore, small and high-density base station distribution is born. Although it solves the problem of traffic demand, it increases energy consumption. For the earth, increasing energy consumption is a very undesirable phenomenon. In order to solve this problem, the overall power consumption of the network must be reduced. Among the network energy use, the energy use of the base station is the largest, so we can start from here.

Various energy-saving methods have also arisen accordingly. Whether it is hardware, software, or strategy, it needs to be achieved by sacrificing certain things. Among them, letting the base station sleep is a cheaper method, although it is mainly for off-peak hours. Implementation, but very effective. In base station analysis, Stochastic Geometry is a very convenient tool. It quickly depicts an entire network architecture and shortens the research time. However, it is rare to implement stochastic geometry in sleep strategies. We will provide an excellent method based on both mathematics and simulation to improve the overall energy consumption of the base station through sleep.

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