隨著資訊量爆炸的時代來臨，網路需求之產品與雲端服務取得方便且易於使用，相對地也導致人們使用行動通訊網路的傳輸需求量與日俱增，並且期望能夠擁有更穩定且快速的網路服務情況，同時兼顧具備環保與節能減碳，為了能夠應對上述情況，為此我們藉由基地台之多點協調傳輸資料，在服務品質與節省能源兩者方面皆能改善。本篇論文在探討合作式通訊網路能源消耗的最佳化與分析，其中網路原始模型為混合整數非線性規劃(Mixed Integer Nonlinear Programming)，屬於NP-hard的高複雜度問題，因此藉由piecewise-RLT以及對數項目的近似之數學技巧，將網路原始模型做線性放鬆之處理，進而轉換為混合整數線性規劃，最後在透過Branch and cut演算法來求得問題的最佳解。

With the advent of information explosions, the wireless devices and cloud services are conveniently available and much easier to be used. Resulting in an increasing demand for the use of communications networks and the desire to have stable and fast network services. Simultaneously, importance of the environmental protection and energy saving are concerned. As a result, we can transmit data to users between several base stations. To tackle the situations we describe above, we propose a solution by allowing base stations cooperating with each other to transmit data. Thus, we can improve both on service quality and energy conservation. This paper discusses the optimization and analysis of the power consumption of cooperative communication network, in which the original mathematical model is mixed integer nonlinear programming. However, the MINLP model belongs to the high complexity problem of NP-hard. Therefore, by using the piecewise-RLT and the approximate mathematical techniques, our model of the network can be relaxed to a linear model, and then it is transformed into integer linear programming. Finally, the optimal solution of the problem is obtained by Branch and cut algorithm.

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