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論文名稱(中文) 下行多輸入多輸出非正交多重擷取系統使用迫零預編碼矩陣之效能最佳化
論文名稱(英文) Performance Optimization for Downlink MIMO Non-Orthogonal Multiple Access Systems with Zero-forcing Precoding Matrix
校院名稱 成功大學
系所名稱(中) 電腦與通信工程研究所
系所名稱(英) Institute of Computer & Communication
學年度 108
學期 2
出版年 109
研究生(中文) 周亮宇
研究生(英文) Liang-Yu Chou
學號 Q36071334
學位類別 碩士
語文別 中文
論文頁數 41頁
口試委員 指導教授-郭文光
口試委員-蘇賜麟
口試委員-卿文龍
口試委員-梁耀仁
口試委員-熊大為
中文關鍵字 非正交多重接取  多輸入多輸出  預編碼矩陣 
英文關鍵字 Non-Orthogonal Multiple Access  Multi-input Multi-output  precoding matrix 
學科別分類
中文摘要 隨著網路技術發展個人行動裝置的數量隨之提升,反映出人們對網路的需求的提升,伴隨而來是資料傳輸需求增加,使我們必須不斷發展新技術,或將舊技術結合來達到更高的傳輸量。而近年來5G網路研究中,有兩項技術是具有發展性的第一是非正交多重存取(Non-Orthogonal Multiple Access, NOMA)技術,我們可以將多個使用者在功率域上疊加編碼傳輸,每位使用者能夠利用最大的頻寬,並且在接收端使用串行干擾消除法(Successive interference cancellation, SIC) 逐一解碼訊號並消除部分干擾,達到提升服務品質的目的;第二是多輸入多數出(Multi-input Multi-output, MIMO)技術,在發送端跟接收端都使用了多根的天線各自獨立的傳輸與接收訊號,這樣的做法可以增加對於通道的描述並且大大提升還原該信號的能力。本文研究背景架構在單一細胞網路,藉由一個基地台服務多個使用者,結合非正交多重接取技術(NOMA)和多輸入多數出技術(MIMO)中的預編碼矩陣,探討系統吞吐量的最佳化,對使用者數量及相互之間的距離比較分析。本論文所建立的網路系統原始模型為非線性規劃問題,藉由piecewise-RLT及對數項的數學簡化來進行線性放鬆,並且利用CPLEX之分枝切割法(Branch and cut)求得整個系統的最佳解。
英文摘要 With the development of network technology, the number of personal mobile devices has increased, reflecting the slow increase in people's demand for the network, accompanied by the increase in data transmission needs, so that we must continue to develop new technologies or combine old technologies Achieve higher throughput. In recent years, there are two technologies that are developmental in 5G network research. The first is non-orthogonal multiple access (Non-Orthogonal Multiple Access, NOMA) technology. We can superimpose multiple users on the power domain. For transmission, each user can use the maximum bandwidth and use serial interference cancellation (SIC) at the receiving end to decode signals one by one and eliminate some of the interference to achieve the purpose of improving service quality; the second is Multi-Input Multi-Output (MIMO) technology uses multiple antennas to transmit and receive signals independently at the sending end and the receiving end. This method can increase the description of the channel and greatly improve the restoration of the signal. This paper studies in a single cell network, serving multiple users with one base station, combining non-orthogonal multiple access technology (NOMA) and precoding matrix in multi-input multiple output technology (MIMO), to explore the optimal system throughput , a comparative analysis of the number of users and the distance between them. The original model of the network system established in this paper is a non-linear programming problem. It is linearly relaxed by piecewise-RLT and the mathematical simplification of the logarithmic term, and the branch and cut method of CPLEX is used to obtain the best solution of the entire system.
論文目次 摘要 I
EXTENDED ABSTRACT II
目錄 VIII
表目錄 X
圖目錄 XI
第 1 章 緒論 1
1.1 論文架構 1
1.2 研究動機及簡介 1
1.3 MULTI-INPUT MULTI-OUTPUT (MIMO) 2
1.3.1 預編碼 3
1.4 NON-ORTHOGONAL MULTIPLE ACCESS(NOMA) 3
第 2 章 系統環境與數學模型 7
2.1 系統環境 7
2.1.1系統模型 8
2.1.2訊號模型 9
2.1.2.1預編碼矩陣 11
2.2 數學模型 12
2.2.1 系統功率限制 13
2.2.2叢集配對限制 13
2.2.3 訊號與干擾雜訊比限制 14
2.2.4 服務品質限制 14
2.2.5 決策目標 16
2.3 模型總結 17
第 3 章 模型簡化與求解程序 19
3.1 PIECEWISE-RLT 19
3.2 等價化簡 24
3.3 對數線性近似 25
3.4 MILP模型總結 27
3.5 求解程序 31
3.5.1 分支定界法(Branch and bound Method) 31
3.5.2 切割平面法(cutting plane method) 32
第 4 章 模擬結果 33
4.1 參數設定 33
4.2 模擬結果 34
4.2.1 固定叢集數增加內外圈使用者間距 34
4.2.2 固定叢集數減少內圈使用者與基地台的距離 36
第5章 結論 39
第6章 參考文獻 40
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[2] S. R. Islam, N. Avazov, K.-S. Kwak and O. A. Dobre, "Power-Domain Non-Orthogonal Multiple Access(NOMA) in 5G systems :Potentials and Challenges," IEEE communications Surveys & Tutorials, VOL. 19 , NO. 2, pp. 721-742, 25 October 2016.
[3] E. H. I. K. MD SHIPON ALI, "Non-Orthogonal Multiple Access (NOMA) for Downlink Multiuser MIMO Systems: User Clustering, Beamforming, and Power Allocation," IEEE Access, 2 March 2017.
[4] MD Shipon Ali, Hina Tabassum and Ekram Hossain, "Dynamic User Clustering and Power Allocation for Uplink and Downlink Non-Orthogonal Multiple Access(NOMA) Systems," IEEE Access , VOL. 4, pp. 6325-6343, 31 August 2016.
[5] Anass Benjebbour, Yuya Saito, Yoshihisa Kishiyama, Anxin Li, Atsushi Harada and Takehiro Nakamura, "Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access," 2013 International Symposium on Intelligent Signal Processing and Communication Systems, 9 January 2014.
[6] Woo-Jong Jo, Chang-Yeong Oh, Yunmin Kim and Tae-Jin Lee, "Novel Pico-cell Range Expansion with Adaptive RACH Resource Allocation," ICWMC 2014 : The Tenth International Conference on Wireless and Mobile Communications, pp. 186-191, 22 June 2014.
[7] J. C. ,. S. M. I. a. Z. C. Rui Tang, “Energy-Efficient Power Allocation for Cooperative NOMA Systems With IBFD-Enabled Two-Way Cognitive Transmission,” IEEE COMMUNICATIONS LETTERS, pp. 1101-1104, JUNE 2019.
[8] C.E. Gounaris, R. Misener and C.A. Floudas, "Computational comparison of piecewise-Linear relaxations for pooling problems," Ind. Eng. Chem. Res., May 2009.
[9] Copyright IBM Corporation, "IBM ILOG CPLEX Optimization Studio CPLEX User's Manual," Version 12 Release 6, 2015.
[10] Ahmet B. Keha and Tolga M. Duman, "Minimun distance computation of LDPC codes using a branch and cut algorithm," IEEE Transactions on Communications , VOL. 58 , ISS. 4, 2010.
[11] Md Shipon Ali, Ekram Hossain and Dong In Kim, "Coordinated Multipoint Transmission in Downlink Multi-Cell NOMA Systems: Models and Spectral Efficiency Performance," IEEE Wireless Coomunications, VOL. 25 , ISS. 2, pp. 24-31, 30 April 2018.
[12] A.H. Sakr and E. Hossain, "Location-aware cross-tier coordinated multipoint transmission in two-tier cellular networks," IEEE Trans. Wireless Communications, VOL. 13, NO. 11, pp. 6311-6325, November 2014.
[13] Yi Shi, Thomas Hou, Sastry Kompella and Hanif D. Sherali, "Maximizing Capacity in Multihop Cognitive Radio Networks under the SINR Model," IEEE Transactions on Mobile Computing, VOL. 10 , ISS. 7, pp. 954-967, 28 October 2010.
[14] Yue Tian, Shani Lu, Andy Nix and Mark Beach, "A Novel Opportunistic NOMA in Downlink Coordinated Multi-Point Networks," IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), June 2015.
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