研究生: |
王韻慈 Wang, Yun-Tzu |
---|---|
論文名稱: |
在行動網路下行鏈路中使用非正交多重存取技術配合聯合傳輸多點協調系統之保證傳輸速率資源配置 Rate-Guaranteed Resource Allocation for Downlink Non-Orthogonal Multiple Access with Joint-Transmission Coordinated Multipoint Support in Mobile Networks |
指導教授: |
高榮駿
Kao, Jung-Chun |
口試委員: |
楊舜仁
Yang, Shun-Ren 趙禧綠 Chao, Hsi-Lu |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 通訊工程研究所 Communications Engineering |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 68 |
中文關鍵詞: | 非正交多重存取 、聯合傳輸多點協調 、功率分配 、資源區塊分配 |
外文關鍵詞: | non-orthogonal multiple access (NOMA), joint-transmission coordinated multipoint (JT-CoMP), power control, resource block allocation |
相關次數: | 點閱:2 下載:0 |
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為了滿足未來行動網路傳輸需求的增加和行動裝置的增長,非正交多重存取技術 (NOMA) 被視為具有潛力的技術之一。非正交多重存取技術不僅可以提升通道狀況品質較差之使用者的傳輸速率,也更充分的運用頻譜資源,因此,本篇論文考量了非正交多重存取技術支援多基地台聯合傳輸協作技術 (JT-CoMP),改善基地台邊緣使用者的服務品質,以提升整體系統表現。此篇論文主要目的為最大化符合傳輸品質的使用者數量,次目的為最大化整體系統的傳輸速率,在考量下行鏈路NOMA傳輸的情形下,首先我們推導出在JT-CoMP技術支援的情況時,使用者所需功率以滿足服務品質的公式解,接著使用所求的結果,將其套用在資源區塊分配演算法中,我們將使用者分組問題轉換成一對一指定問題和尋找最大權重獨立集問題,以此來達到我們的目的。模擬結果顯示我們所提出的演算法不管在整體系統傳輸速率或達到傳輸品質使用者數量的表現都優於其他比較的演算法。
To achieve dramatically increasing demand for data transmission in next-generation mobile networks, non-orthogonal multiple access (NOMA) has been considered as one of the key techniques. NOMA not only improves the data rate for users with poor channel quality but also enhances spectrum efficiency. To elevate the throughput of cell-edge users, we also take the joint transmission coordinated multipoint technique (JT-CoMP) into account in our system. In this thesis, the primary goal is to maximize the number of well-served users and the secondary goal is to increase system throughput. Consider a downlink NOMA system with JT-CoMP. We first derived a closed-form solution for the optimal transmission power values, given either a user pair or a user triple. After that, we utilize the result of optimal power allocation to maximize the number of well-server users. We transform the user grouping problem into a problem of finding the maximum weight independent set of a graph. Simulation results present that our proposed resource allocation algorithm is superior to several existing NOMA algorithms in terms of both the number of well-served users and the system sum rate.
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