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博碩士論文 etd-0728118-204406 詳細資訊
Title page for etd-0728118-204406
論文名稱
Title
毫米波非正交多工系統之資源分配
Resource Allocation for mmWave NOMA systems
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
60
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2018-08-23
繳交日期
Date of Submission
2018-08-28
關鍵字
Keywords
迫零法、波束賦形、功率分配、毫米波、非正交多工系統
beamforming, ZF, NOMA, mmWave, power allocation
統計
Statistics
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中文摘要
本篇論文在毫米波頻段多使用者的系統環境裡,利用非正交多工(Non-Orthogonal multiple access, NOMA),更有效的使用頻寬,因為使用了疊加編碼(Superposition coding)技術,在同一個頻帶中可以將使用者的訊號疊加後傳送,並利用不同功率來區分訊號,接收端則使用連續干擾消除(Successive Interference Cancellation, SIC)技術,來消除使用者間的訊號干擾。基地台將使用者分配到不同群集內,採用零迫法(Zero-Forcing, ZF)設計各群集的波束賦形向量,降低群集間干擾,基於此波束賦型設計我們提出一套演算法,分配群集間的功率以提升整體的傳輸速率,這個最佳化問題利用到拉格朗日乘數法(Lagrange multiplier method)求解,為了簡化最佳化問題,先假設一組每群的初始值,帶入群內功率分配值及干擾項後,再利用疊代法(Iterative Method)的方式以及運用到二分搜尋法(Bisection Method)尋找最佳解,完成功率分配的演算法。最後利用電腦模擬結果,本篇提出來的功率分配,相較於等群集功率策略,更能有效提升總傳輸速率。
Abstract
In this these, we consider millimeter wave(mm Wave) downlink where non- orthogonal multiple access (NOMA) method is adopted to enhance spectrum efficiency. With superposition coding, the base station (BS) simultaneously transmits multiple users’ signals which can be distinguished with different power. The receiver at each mobile station (MS) adopts successive interference cancellation (SIC) technology to eliminate inter-user interference. The BS partitions MSs into different clusters and employs zero-forcing (ZF) criterion to design beamforming vector for each cluster to reduce inter-cluster interference. Based on the clustering and beamforming design, we proposed an algorithm to allocate transmission power among various clusters, in order to further improve the system capacity. We apply the method of the Lagrange multiplier and obtain the optimal solution through the proposed iterative algorithm and the bisection method. It shows from simulation results that the proposed power allocation effectively raise the system capacity compared with the case of equal power among all clusters.
目次 Table of Contents
論文審定書 i
誌謝 ii
中文摘要 iii
ABSTRACT iv
目錄 v
圖目錄 vii
表目錄 viii
Chapter 1 介紹 1
Chapter 2 文獻探討 5
2.1 非正交多工系統與迫零系統比較 5
2.2 毫米波下多使用者大規模系統 9
Chapter 3 系統模型 17
3.1 用戶配置與通道模型 17
3.2 傳送與接收訊號 19
3.3 波束向量之設計 21
3.4 迫零法 23
Chapter 4 最佳化問題 25
4.1 功率分配最佳化 25
4.2 實例討論 29
4.3 尋找最佳整體傳輸速率的流程 41
Chapter 5 模擬結果 45
Chapter 6 結論 50
參考文獻 51
參考文獻 References
[1] 程偉庭(2016)。非正交多工系統下的最佳波束賦形向量設計和功率分配。中山大學通訊工程研究所碩士論文。
[2] 黃祿益(2017)。運用毫米波於多使用者大規模系統中之非正交多重擷取機制。中山大學通訊工程研究所碩士論文。
[3] S. Buzzi and C. D’Andrea, “Doubly massive mmWave MIMO systems: Using very large antenna arrays at both transmitter and receiver,” in Proc. IEEE Global Telecommun. Conf. (GLOBECOM), Dec. 2016, pp. 1–6.
[4] S. Buzzi and C. D’Andrea, “On clustered statistical MIMO millimeter wave channel simulation,” ArXiv e-prints [Online] Available: https://arxiv.org/abs/1604.00648, May 2016.
[5] J. B. Andersen and K. I. Pedersen, “Angle-of-arrival statistics for low resolution antenna,” IEEE Trans. Antennas Propag., vol. 50, no. 3, pp. 391– 395, Mar. 2002.
[6] R. Pasupathy, “Generating homogeneous Poisson process,” in Wiley Encyclopedia of Operations Research and Management Science. Hoboken, NJ, USA: Wiley, 2010, pp. 1–11.
[7] Z. Zhou, S. Zhou, J. Gong, and Z. Niu, “Energy-efficient antenna selection and power allocation for large-scale multiple antenna systems with hybrid energy supply,” in Proc. IEEE Globecom, Austin, TX, USA, Dec. 2014, pp. 2574–2579.
[8] S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, UK: Cambridge University Press, 2004, pp. 144–191.
[9] J. Nocedal, S. Wright, Numerical Optimization. Berlin, Germany: Springer-Verlag, pp. 224–227.
[10] W. Dinkelbach, “On nonlinear fractional programming,” Management Science, vol. 13, no. 7, pp. 492–498, Mar. 1967
[11] H. Li, L. Song, and M. Debbah, “Energy efficiency of large-scale multiple antenna systems with transmit antenna selection,” IEEE Trans. Comm., vol. 62, no. 2, pp. 638–647, Feb. 2014
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