在蜂巢式網路中，支援裝置間直接通訊已被視為一種可有效地降低基地台負載程度的行動通訊技術，在裝置間通訊中，兩個鄰近裝置之間的通訊可選擇點對點模式或透過基地台轉傳，選擇恰當的通訊模式對於決定系統的效能，有顯著的影響，在傳統的模式選擇下，基於通道容量的最佳模式選擇機制需要知道全部的通道資訊量來做模式選擇，因而難以實現的。為了解決這個問題，我們分析了裝置間通訊所造成的可能干擾情況，推導出干擾的上限值，並據此提出一種低複雜度的模式選擇機制，為了更進一步減少細胞間之干擾問題和改善系統的吞吐量，在結合裝置間通訊和蜂巢式網路下，我們更提出了動態資源劃分機制和平衡資源分配機制。最後，我們的模擬結果顯示，基於最大干擾上限設計的模式選擇機制，不僅與最佳模式選擇機制擁有幾乎相同的吞吐量性能，也有效降低功率消耗與實現複雜度。

Device-to-Device (D2D) communication underlying cellular networks has been envisioned as one of the promising mobile communication techniques to offload base stations (BSs). In D2D communication, the mode selection problem and the resource management problem both possess a profound impact on determining the system performance. Particularly, an effective mode selection scheme can greatly improve the total system throughput. In classical mode selection schemes, the best mode selection scheme referred to as ``capacity-based scheme' is difficult to implement due to the requirement of global channel information in making the mode selection decision. To address this issue, we propose a low-complexity mode selection scheme which is referred to as maximum reference interference (MRI)-based scheme. The proposed MRI-based scheme eliminates the need of global channel information and it effectively reduces the operational complexity by replacing the exact interference value with an upper bound. To further reduce severe inter-cell interference and improve the system throughput, we propose a dynamic resource partition scheme along with a balanced resource allocation scheme for D2D-enabled cellular networks. Simulation results show that MRI scheme not only achieves the comparable throughput performance to the optimal scheme but also effectively reduces power consumption and implementation complexity.

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