近年來，由於過多的能源消耗以及溫室氣體排放，使得全球暖化問題日益嚴重。再者，根據研究顯示，在整個行動通訊網路中約有75%的能源損耗來自基地台的使用。因此，針對基地台發展具降低能源消耗且提高能源使用效率之技術，已成為未來的一股趨勢。基於上述，本碩士論文欲於蜂巢狀網路上，利用貝氏賽局理論提出一個分散式傳輸能源策略。在此提出之策略，考慮基地台彼此擁有不完全資訊的情況下，基地台可透過貝氏賽局在有限的資訊交換互動中去選擇最佳傳輸能源，藉此達到自身能源效率最佳化。此外，本碩士論文亦會提出一個基地台休眠管理機制提升整體網路的節能效率。最後，由電腦模擬結果驗證，本論文所提出之分散式傳輸能源策略確實可達到較佳的能源與節能效果。

Reducing energy consumption and achieving high energy efficiency has become an important mission for the cellular networking industry to slow down the trend of global warming. In this thesis, a distributed power selection strategy for base stations in cellular networks to significantly reduce the energy consumption and improve energy efficiency while satisfying users’ demands is proposed. The proposed scheme applies Bayesian game theory to allow base stations to optimize the energy efficiency by selecting the best transmission power strategy in a distributed way. In addition, the current thesis also proposes a sleep-mode management mechanism for base stations to further improve their energy efficiency. Finally, through the computer simulations, it is shown that the proposed distributed transmission power strategy indeed achieves the optimal energy efficiency.

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