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研究生: 邱宏達
Chiu, Hong-Ta
論文名稱: 合作式蜂巢網路能量效益最佳化
Optimization of Energy Efficiency for Cooperative Cellular Networks
指導教授: 郭文光
Kuo, Wen-Kuang
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 電腦與通信工程研究所
Institute of Computer & Communication Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 中文
論文頁數: 38
中文關鍵詞: 能量效益混合整數非線性分數規劃協調式多點傳輸
外文關鍵詞: Energy Effiency, MINLFP, Coordinated Multipoint Transmission
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  • 在現今網路通訊發達的時代,無線網路的應用與人們的生活變得密不可分,因此,如何能更有效率地利用有限的資源,維持穩定且快速的網路服務品質,並同時達到節能減碳、綠色節能則是我們的目標。為應對上述目標,我們應用協調式多點傳輸,改善總消耗功率及傳輸速率的情況,使得在能量效益的表現上能比傳統網路架構有明顯的進展,同樣也希望在高傳輸速率下追求更好的能量效益。本論文主旨為系統在合作式架構下,讓能量效益--傳輸速率與總功率消耗之比達到最佳,原數學模型為混合整數非線性分數規劃(Mixed Integer Nonlinear Fractional Programming)問題,屬於NP-hard的高複雜度問題,我們透過數學技巧Piecewise-RLT以及對數項近似技巧來簡化最初的模型,並使用CCT轉換(Charnes-Cooper Transformation)將分數部分取代,最後再使用Branch and Cut演算法來求得最佳解。

    In the era of developed Internet communication nowadays,application of wireless Internet and human’s life become inseparable.Therefore,how to utilize limited resources more efficiently,maintaining stable and rapid quality of Internet service,reaching energy efficiency and carbon reduction and green energy-saving at the same time is our goal.To cope with above objects,we apply coordinated multipoint transmission,improving the situations of total power consumption and transmission rate,making the performance of energy efficiency better than traditional network architecture.Similary,we hope to pursue better energy efficiency at high transmission rate.The subject matter of this paper hope to make energy efficiency—transmission rate and total power consumption ratio best in the cooperative architecture.Our original mathematic model is Mixed Integer Nonlinear Fractional Programming problem,belonging to NP-hard high complexity problem.We use mathematic skill Piecewise-RLT and Logarithmic approximation technique to simplify initial model,and we replace the fractional part by Charnes-Cooper Transformation,using Branch and Cut algorithm to find optimal solution finally.

    摘要 I SUMMARY II 誌謝 VIII 目錄 IX 表目錄 XII 圖目錄 XII CHAPTER 1 序論 1 1-1 研究簡介 1 1-2 研究動機與目的 2 CHAPTER 2 系統架構與數學模型 4 2-1 系統架構 4 2-2 數學模型 7 CHAPTER 3 數學模型簡化與求解過程 11 3-1 數學模型簡化 11 3-1-1 PIECEWISE-RLT 11 3-1-2 LOG項線性放鬆 15 3-1-3 CCT轉換 16 3-1-4二元決策變數放鬆反轉換 18 3-1-5 MILP模型 18 3-2 BRANCH AND CUT-分支切割演算法 22 CHAPTER 4 模擬結果 24 4-1 建置拓樸及環境參數設定 24 4-2 模擬結果 26 CHAPTER 5 結論 36 REFERENCES 37

    [1] Qian Li , Rose Qingyang Hu , Yi Qian & Geng Wu,” Cooperative communications for wireless networks: techniques and applications in LTE-advanced systems”, IEEE Wireless Communications ,Volume: 19, Issue: 2,2012 .
    [2] J. Lee et al. "Coordinated multipoint transmission and reception in LTE-Advanced systems" IEEE Commun. Mag. vol. 50 no. 11 pp. 44-50 Nov. 2012.
    [3] Z. Ding S. M. Perlaza I. Esnaola H. V. Poor "Power allocation strategies in energy harvesting wireless cooperative networks" IEEE Trans. Wireless Commun. vol. 13 no. 2 pp. 846-860 Feb. 2014.
    [4] Zhisheng Niu , Sheng Zhou , Yao Hua , Qian Zhang & Dongxu Cao,” Energy-Aware Network Planning for Wireless Cellular System with Inter-Cell Cooperation”, IEEE Transactions on Wireless Communications , Volume:11,Issue:4,pp. 1412-1423,2012.
    [5] C.E. Gounaris, R. Misener & C.A. Floudas, “Computational comparison of piecewise-linear relaxations for pooling problems.” ,Ind. Eng. Chem. Res, 48(12), pp.5742-5766.,2009.
    [6] Yi Shi , Y. Thomas Hou , Sastry Kompella & Hanif D. Sherali,” Maximizing Capacity in Multi-Hop Cognitive Radio Networks Under the SINR Model”, IEEE Transactions on Mobile Computing ,Volume: 10, Issue: 7,pp.954 – 967,2011.
    [7]Dajun Yue, Gonzalo Guillén-Gosálbez, Fengqi You, “Global optimization of large-scale mixed-integer linear fractional programming problems: A reformulation-linearization method and process scheduling applications”, AIChE Journal, Vol. 59, No. 11, pp. 4255–4272, November 2013.
    [8]John E. Mitchell, “Branch-and-Cut Algorithms for Combinatorial Optimization Problems,” Oxford University Press, 2000.
    [9] Kun Yang , Lin Wang , Shuo Wang & Xing Zhang,” Optimization of Resource Allocation and User Association for Energy Efficiency in Future Wireless Networks”, IEEE Access,Volume: PP, Issue: 99, 2017.
    [10]Esra Ayçan Beyazıt , Berna Özbek & Didier Le Ruyet,” Adaptive limited feedback scheme for stream selection based interference alignment in heterogeneous networks”, Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016 IEEE, Rio de Janerio, Brazil, July 10-13, 2016.
    [11] N. Qi M. Xiao T. Tsiftsis M. Skoglund P. Cao L. Li "Energy efficient cooperative network coding with joint relay scheduling and power allocation" IEEE Trans. Commun. vol. 64 no. 11 pp. 4506-4519 Nov. 2016.
    [12] D Xu, Q Li, “Cooperative resource allocation in cognitive radio networks with wireless powered primary users” IEEE Wirel. Commun. Lett 2017.
    [13] Yin, S.; Qu, Z. “Resource allocation in cooperative networks with wireless information and power transfer” IEEE Trans. Veh. Technol PP(99), 1–1 (2017)
    [14] G. Auer, V. Giannini, C. Desset, I. Godor, P. Skillermark, M. Olsson, M. Imran, D. Sabella, M. Gonzalez, O. Blume, and A. Fehske, “How much energy is needed to run a wireless network?” IEEE Wireless Communication, vol. 18, no. 5, pp. 40–49, Oct. 2011.

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