臺灣博碩士論文加值系統

隨著網路技術發展快速和行動裝置的普及，人們對於網路的需求日漸擴大，伴隨而來的是資料量需求大幅增加，以致於我們必須不斷發展新技術，甚至結合舊技術來達到所需的服務品質，而近年來5G網路研究中，非正交多重存取(Non-Orthogonal Multiple Access, NOMA)技術具有相當大的重要性，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。本文研究背景架構在異質性網路，藉由跨層細胞間的多點協調傳輸，結合非正交多重接取技術(NOMA)，探討系統吞吐量的最佳化，並且與合作式通訊系統及傳統系統作比較分析。本論文所建立的網路系統原始模型為非線性規劃問題，將藉由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。

As the network technology advance and the popularity of the smart mobile device, demands for the internet are rapidly increasing. Along with the sharp growth of data volume, we have to constantly evolve new technology and even combine the inherent approaches to achieve the QoS. Non-Orthogonal Multiple Access(NOMA) is crucial in recent research of the fifth-generation mobile networks. At the transmitter, we perform superposition coding on power-domain such that the maximum bandwidth can be used for each user, and with the interference-cancellation technique, we can also improve the quality of communication. In this paper, we combine NOMA with the cross-tier coordinated multipoint transmission(CoMP) based on heterogeneous cellular networks in order to explore the optimization of sum-throughput. The original model established in this paper is a nonlinear programming problem. After converting the model into a mixed-integer linear programming problem with the piecewise-RLT method and the mathematical simplification of logarithm terms, we can finally obtain the optimal solution of the system by using the branch and cut algorithm of CPLEX.

摘要 I
EXTENDED ABSTRACT II
目錄 VI
表目錄 VIII
圖目錄 IX
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 COORDINATED MULTIPOINT TRANSMISSION(COMP) 2
1.4 NON-ORTHOGONAL MULTIPLE ACCESS(NOMA) 4
第 2 章 系統環境與數學模型 7
2.1 系統環境 7
2.1.1基地台服務規則 8
2.1.2系統架構 9
2.2 數學模型 14
2.2.1 系統功率限制 15
2.2.2 干擾訊雜比(SINR)限制 15
2.2.3 服務品質限制 23
2.2.1 決策目標 24
2.3 模型總結 25
2.3.1 C-NOMA 25
2.3.2 NOMA 26
2.3.3 CoMP 27
2.3.4 TRAD 28
第 3 章 模型簡化與求解程序 29
3.1 PIECEWISE-RLT 29
3.2 對數線性近似 34
3.3 MILP模型總結 37
3.3.1 C-NOMA 37
3.3.2 NOMA 40
3.3.3 CoMP 43
3.3.4 TRAD 46
3.4 求解程序 49
3.4.1 分支定界法(Branch and bound Method) 49
3.4.2 切割平面法(cutting plane method) 50
第 4 章 模擬結果 51
4.1 參數設定 51
4.2 模擬結果 52
4.2.1 固定Macro user增加pico user數量(實驗一) 52
4.2.2 固定Pico user 增加Macro user數量(實驗二) 55
4.2.3 改變THR值(實驗三) 57
第5章 結論 60
第6章 參考文獻 61

[1] Guogang Zhao, Sheng Chen, Liqiang Zhao and Lajos Hanzo, Joint Energy-Spectral Efficiency Optimization of CoMP and BS Deployment in Dense Large-Scale Cellular Networks, IEEE Transactions on Wireless Communications, VOL. 16 , NO. 7, pp. 4832-4847, 16 MAY 2017.

[2] S.M. Riazul Islam, Nurilla Avazov, Octavia A. Dobre and Kyung-Sup Kwak, 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] 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 Communications, VOL. 25, ISS. 2, pp. 24-31, 30 April 2018.

[4] Qian(Clara) Li, Huaning Niu, Apostolos(Tolis) Papathanassiou and Geng Wu, 5G Network Capacity: Key Elements and Technologies, IEEE Vehicular Technology Magazine, VOL. 9, ISS. 1, pp. 71-78, 31 January 2014.

[5] Boyd Bangerter, Shilpa Talwar, Reza Arefi and Ken Stewart, Networks and Devices for the 5G Era, IEEE Communications Magazine, VOL. 52, ISS. 2, pp. 90-96, 19 February 2014.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] Z. Liu, G. Kang, L. Lei, N. Zhang, and S. Zhang, Power Allocation for Energy Efficiency Maximization in Downlink CoMP Systems with NOMA, IEEE Wireless Communications and Networking Conference (WCNC), 19 March 2017.

[11] 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.

[12] C.E. Gounaris, R. Misener and C.A. Floudas, Computational Comparison of piecewise-linear relaxations for pooling problems, Ind. Eng. Chem. Res., May 2009.

[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] Copyright IBM Corporation, IBM ILOG CPLEX Optimization Studio CPLEX User's Manual, Version 12 Release 6, 2015.

[15] 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.