裝置對裝置通信,在增強系統性能上被視為一項很有前途的技術。然而,擁有裝置對裝置通信之能力的潛在用戶往往天性自私,這樣的用戶可能會對網路系統的整體性能造成損害。在本論文中,我們提出了一個激勵兼容的框架,以適用提供了裝置對裝置通信的行動網路。在覆蓋網路的裝置對裝置通信下,該框架提供了一個基於群組的通信模式。為了得到最佳的通信模式選擇和系統頻譜分割,我們的框架提供了一個基於定價的斯坦克伯格賽局模型。進一步,我們提出了一個動態方法,用以尋找群組數目和通信模式選擇的近優解。將多輸入多輸出技術引入到裝置對裝置通信中,我們又提出了另一個基於群組的行動網路,其系統目標是實現最大並發數量的裝置對裝置通信。為了減少信號開銷,我們提供了分佈式的干擾消除算法用以減輕同信道干擾。除此之外,我們還提出一個集中式的分組算法和一個分佈式的群組選擇算法。這兩個算法有助於進一步地提升系統性能。
Device-to-Device (D2D) communication has been proposed as a promising technology to enhance network performance. Nevertheless, the selfish nature of potential D2D users may impale the performance of D2D-enabled network. In this thesis, we propose an incentive compatible D2D-enabled cellular network framework, which support a novel group D2D mode under overlay D2D communication. The proposed framework provides a pricing-based Stackelberg game for optimal mode selection and spectrum partitioning. Furthermore, we propose a dynamic approach to find near-optimal group number and near-optimal mode selection under group D2D mode framework. By exploiting Multiple-input multiple-output (MIMO) technologies into D2D communication for both underlay and overlay, we further proposed a group-based D2D network system with MIMO-assisted to achieve maximum concurrent active D2D streams. To reduce signal overhead, a distributed interference elimination algorithm is provided to mitigate co-channel interference. Besides, a centralized grouping algorithm and a distributed group selections are proposed to further improve the performance of group-based system.