新世代的行動通訊網路上，能源損耗問題是為重要的議題。近年來，毫微微型網路被視為一套具有能源效率及低成本的技術可增進蜂巢網路上的系統容量與通訊覆蓋範圍。然而，毫微微型基地台與宏觀型基地台在沒有計畫性的能源調整下，會增加龐大能源的損耗，更甚至於在共用通道下而對使用者產生更大的訊號干擾。因此，本論文研究採用Stackelberg賽局來探討能源管理問題。假設宏觀型基地台為領導者，毫微微型基地台為追隨者，在宏觀型基地台與毫微微型基地台共存環境下，Stackelberg均衡可提供最佳能源策略。為了考慮毫微微型基地台之間的互動行為，本研究引用貝氏法則在基於各基地台的特性下，進而達到最佳的能源決策。模擬數據結果驗證所提出機制在各種網路環境中均可提供最佳的能源策略，同時相較於其他方法可達到較佳的能源效率。

The energy consumption problem in the next generation wireless networks has become crucial. Femtocell networks have recently been considered as an energy-efficient and low-cost solution to improve cellular network capacity and coverage. However, unplanned and uncoordinated power adjustment of femtocell and macrocell base stations may increase the system energy consumption and cause co-channel interference. Accordingly, this study formulates this problem as a Stackelberg game with the marcrocell base station as the leader and the femtocell access points as the followers. The Stackelberg Equilibrium determines the optimal power strategies for the marcrocell and femtocell base stations. To characterize the interaction between femtocell base stations (i.e., followers), a Bayes’ rule is introduced to choose the best power level selection according to their individual features. Simulation results show the proposed scheme can provide the best power selections for all base stations under various network environments while having the better energy efficiency compared to reference schemes.

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