在蜂巢式網路中，裝置間通訊可以藉由共享蜂巢式網路的資源進行直接通訊以提升網路的吞吐量以及頻譜使用效率。然而使用裝置間通訊會與蜂巢式網路系統帶來強烈的相互干擾進而抑制整體效能的成長。在本篇論文利用不同優先權的概念，我們主要解決裝置間通訊使用者及蜂巢式網路使用者在資源分配上所產生的問題。首先，我們修改了傳統的局部時間及頻率之資源分配法使得裝置間通訊的使用者能夠選擇自己要共享資源的夥伴，例如:裝置間通訊使用者可以根據自己喜好表上面的排序去選擇要共享資源的蜂巢式網路使用者使得其相互間的干擾能有效的降低。其次，我們進一步的將不同優先權的概念應用在蜂巢式網路使用者身上，意即所謂的雙邊差異優先權。最後，我們使用蓋爾夏普利演算法去解決裝置間通訊使用者與蜂巢式網路使用者之間的配對問題。根據模擬的結果，隨著容納越多裝置間通訊的使用者，我們提出的方法能夠大大的提升系統的穩定度以及吞吐量。

Device-to-Device (D2D) communications underlaying cellular networks can improve the network capacity and spectrum efficiency by sharing the cellular resources in the direct-transmission mode. However, the stringent interference between D2D and cellular systems can seriously repress the overall performance improvement. In this thesis, we aim to solve this dilemma by applying the concept of differentiated priority into the resources sharing problem among the D2D pairs and cellular users. Firstly, we modified the conventional partial time-frequency resource allocation scheme to let each D2D pair select its sharing comrades, i.e. the cellular users, based on its own preference list such that less amount of mutually interference may be incurred. Secondly, the differentiated priority scheme is furthered implemented into the cellular users, i.e. the so-called bipartite differentiated priority. Then, the association problem between the D2D pairs and cellular users is solved by using the Gale-Shapley algoriithm. The simulation results show that the proposed schemes can greatly enhance the system stability and capacity, while accommodating more D2D pairs.

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