隨著網路技術和無線裝置的快速發展，人們對於網路服務的需求日漸擴大，但由於頻寬資源有限，以至於學者必須不斷開發新技術，甚至結合舊技術來應對與日俱增的服務需求。近年來，Device to Device(D2D)通訊傳輸技術越來越受討論，由於不需要基地台轉送，可有效增加總體傳輸量，並減輕基地台負擔。非正交多重存取(NOMA)技術，可以將多個使用者的訊號在功率域上疊加編碼傳輸，以達到節省頻寬的目的，並在接收端則使用Successive Interference Cancelation(SIC)逐一解碼疊加的訊號。Hybrid automatic repeat request (HARQ)技術透過錯誤重傳的機制改善系統的錯誤率。本篇論文將分兩為部分，第一部分我們在基地台邊緣架設全雙工中繼器(Full-Duplex Relay)，希望能增加基地台的覆蓋範圍，並進一步搭配HARQ-IR技術，改善邊緣使用者的錯誤率，並與HARQ-CC技術比較；第二部分我們探討在D2D的架構下，HARQ-IR與HARQ-CC的系統效能比較，由於數學求解困難，我們利用Gaussian Laguerre Quadrature及Concentrated Matrix Exponential等方式求得近似解，並分析結果。

With the rapid development of network technology and wireless devices, people’s demand for network services is increasing. However, due to limited bandwidth resources, scholars must contimue to develop new technologies, and even combine old technologies to cope with the increasing demand for services. In recent years, Device to Device(D2D) communication transmission technology has been increasingly discussed. Since Device to Device communication isn’t required base station, it can effectively increase the overall transmission volume and reduce the burden on the base station. Non-Orthogonal Multiple Access(NOMA) is also crucial in recent research of mobile network. In order to save bandwidth,Non-Orthogonal Multiple Access(NOMA) technology allowing transmitter to performs superposition coding(SC) on power-domain. At the reveiver, the Successive Interference Cancelation(SIC) is used to decode the signal which was performed superposition coding. Then combined with Hybrid automatic repeat request technology to improve service quality. This paper will be divided into two parts. In the first part, we set up a Full-Duplex relay on the edge of the base station, hoping to increase the coverage of the base station, and use HARQ-Incremental Redundancy(HARQ-IR) technology to increase the edge users. Then quality of service is compared with the HARQ-Combing Chase(HARQ-CC) technology. In the second part, we discuss the system performance comparison of HARQ-IR and HARQ-CC under the Device to Device architecture. Due to the difficulty of mathematical solution, we use Gaussian Laguerre Quadrature and Numerical Inverse Laplace Transformation with Concentrated Matrix Exponential(CME) to find an approximate solution and evaluate the performation of the results.

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