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研究生： 馮韻庭
Feng, Yun-Ting
論文名稱： 群聚式高密度網路之無人機行動邊緣運算方案
UAV-Enabled Mobile Edge Computing for Clustered High Density Network
指導教授： 張志文
Jhang, Jhih-Wun
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： 2020
畢業學年度： 108
語文別： 英文
論文頁數： 41
中文關鍵詞： 無人機 、行動邊緣運算 、叢集 、密集網路
外文關鍵詞： UAV, MEC, cluster, dense network
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    • 在本文中，我們研究了群集和無人機（UAV）支持的MEC計算網絡的結合，從而以最小的傳輸功率有效地完成了計算任務。為了實現這一目標，開發了支持叢集的UAV-BS（UAV-BS）方案（CUBE）以迭代解決五個子問題：（1）叢集數量；（2）UE 與UAV 之間的計算關聯；（3）傳輸數據的傳輸功率；（4）每個UE 的無人機計算能力的分佈；以及（5）每個UAV的位置（包括其高度）。基於模擬結果，提出的算法可以正確地維持人口密集UAV 的MEC 網絡的運行。

    In this paper, we investigate the incorporation of the clustering and unmanned aerial vehicle (UAV) enabled MEC computation network to efficiently accomplish the computation tasks using minimum transmission power. To achieve this goal, the clustering UAV-base-station (UAV-BS) enabled (CUBE) scheme is developed to iteratively solve five sub-problems: (1) the number of clusters; (2) the computing associations between UEs and UAVs; (3) the transmission power for transferring data; (4) the distribution of the UAVs' computation capacity for each UE; and (5) the locations of each UAV (including its height). Based on the simulation results, the proposed algorithm can properly maintain the operation of the UAV-enabled MEC network with dense population.

    Chinese Abstract i English Abstract ii Acknowledgements iii Contents iv List of Tables vi List of Figures vii List of Variables viii List of Acronyms x 1 Introduction 1 2 Related Works 3 2.1 Clustering Schemes 3 2.2 UAV-enabled MEC Network 3 3 Background Knowledge 7 3.1 Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) 7 3.2 Half-Duplex (HD) and Full-Duplex(FD) 9 3.2.1 Half-Duplex (HD) 9 3.2.2 Full-Duplex (FD) 9 3.3 Mobile Edge Computing(MEC) 9 3.4 Cluster 10 4 System Model and Problem Description 13 4.1 Problem Description 13 4.2 Computation Association between UEs and UAVs 14 4.3 Time and Power Consumption 15 5 Problem Formulation and Proposed CUBE-MEC Scheme 18 5.1 Problem Formulation 18 5.2 Proposed CUBE-MEC Scheme 20 5.2.1 Sub-Problem of User Association 20 5.2.2 Sub-Problem of Power Control 24 5.2.3 Sub-problem of Allocating Computation Capacity 26 5.2.4 Sub-Problem of UAVs' Locations 27 6 Simulation Results 30 7 Conclusions and Future Works 34 Bibliography 35 Appendix A 37 Appendix B 40 Vita 41

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