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作者:Mayibongwe Demand Dlamini
作者(英文):Mayibongwe Demand Dlamini
論文名稱:多接取邊緣運算佈署策略效能分析
論文名稱(英文):Performance analysis of Multi-access Edge Computing deployment policies in 4G LTE
指導教授:陳旻秀
指導教授(英文):Min-Xiou Chen
口試委員:張耀中
許弘駿
口試委員(英文):Yao-Chung Chang
Hong-Chun Hsu
學位類別:碩士
校院名稱:國立東華大學
系所名稱:資訊工程學系
學號:610921302
出版年(民國):111
畢業學年度:110
語文別:英文
論文頁數:61
關鍵詞:4G LTE多接入邊緣計算佈署策略平均封包遺失量OMNet++
關鍵詞(英文):4G LTEMulti-access Edge ComputingDeploymentAverage Packet LossOMNet++
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行動服務所產生流量的大幅增加,預計未來幾年該流量將進一步倍增。 4G LTE 網絡是一個可靠的網絡,具有相當量好的傳輸速率,但行動服務的需求量倍增將會給傳輸頻寬帶來更大的負擔。儘管 5G 正在慢慢引入,但許多國家仍然依賴和使用 4G LTE 網絡。多接入邊緣計算 (MEC) 將成為電信網絡的一項關鍵技術,它具有多種運用情境與高頻寬傳輸的優勢,可以在網絡中部署時帶來更好的用戶體驗。在本文中,我們使用 OMNet++ 網路模擬器通過流服務的不同參數(移動速度、部署的用戶設備 (UE) 數量和骨幹帶寬)來評估不同 MEC 部署策略的性能。

There has been a lot of increase in the number of mobile data traffic and that number is forecasted to rise even more in the coming years. The 4G LTE network is a reliable network with fairly good transmission bandwidth but this kind of increase can burden the network requiring a more reliable and faster network. Even though 5G is slowly being introduced, a lot of countries still rely and use the 4G LTE network. Multi-access Edge Computing (MEC) will be a crucial technology to the telecommunication network, it comes with a variety of use cases and benefits which can enhance users’ experience when deployed within the network. In in this paper, we used the OMNet++ Network simulator to evaluate the performance of the different MEC deployment strategies through different parameters (mobility speed, number of User Equipment (UE) deployed and backbone bandwidth) for the streaming service.

Chapter 1: Introduction 1
Chapter 2: Related works 3
2.1 4G Mobile Network Architecture 3
2.1.1 User Equipment (UE) 3
2.1.2 E-UTRAN (The Access Network) 4
2.1.3 Evolved Packet Core (EPC) 5
2.2 Multi -access Edge Computing (MEC) 6
2.2.1 Multi-access Edge Computing Framework 7
2.2.2 MEC host 8
2.2.3 MEC platform 8
2.2.4 MEC application 8
2.2.5 MEC system level management 8
2.2.6 MEC host level management 8
2.2.7 Device application 8
2.2.8 Multi-access Edge Computing Service Scenarios 9
2.3 MEC Deployment in 4G Networks 10
2.3.1 Bump in the wire 11
2.3.2 Distributed EPC 12
2.3.3 Distributed S/PGW 13
2.3.4 Distributed SGW with Local Breakout (SGW-LBO) 13
2.3.5 Comparison of the different deployment 14
2.4 Challenges in the different deployment 14
2.4.1 Session Management 14
2.4.2 Mobility management 16
2.5 Software Defined Networking (SDN) 18
2.6 Network Slicing 19
Chapter 3: MEC gateway and Session Management 21
3.1 Intra MEC mobility 21
3.1.2 Inter MEC mobility 21
3.2 MEC Gateway (MGW) 22
3.2.1 MGW’s control place in MEC handover scenario 23
3.2.2 Forwarding of handover messages by the MGW 23
Chapter 4: Simulation Environment 26
4.1 OMNeT++ 26
4.2 Network model architecture and configuration 26
4.2.1 Parameter Settings and configurations 27
4.3 Simulation Scenarios 28
4.3.1 Scenario 0000 28
4.4.2 Scenario 0001 30
4.4.3 Scenario 0101 32
4.4.4 Scenario 0111 34
4.4.5 Scenario 1001 36
4.4.6 Scenario 1011 37
4.4.7 Scenario 1111 38
Chapter 5: Simulation data analysis 41
5.1 End to End delay 41
5.2 Average Packet Loss Ratio 42
5.2.1 Simulation data for 10M 42
5.2.2 Simulation data for 50M 45
5.2.3 Simulation data for 100M 47
5.2.4 Simulation data for 1G 50
5.3 Improvement over 0000 52
5.3.1 10M 52
5.3.2 50M 53
5.3.3 100M 53
5.3.4 1G 54
5.4 Data analysis summary 55
CHAPTER 6: Conclusion and Future works 57
References 58
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[2] LTE Architecture Concepts, [online], https://yatebts.com/documentation/concepts/lte-concepts/
[3] Multi-access Edge Computing (MEC); Framework and Reference Architecture, ETSI GS MEC 003 V2.1.1, January 2019, http://www.etsi.org/standards-search
[4] Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, Khaled B. Letaief, A survey on mobile edge computing: The communication perspective, IEEE Communications Surveys & Tutorials, August 2017, DOI:10.1109/COMST.2017.2745201
[5] Yun Chao Hu, Milan Patel, Dario Sabella, Nurit Sprecher, Valerie Young, Mobile Edge Computing A key technology towards 5G, ETSI White Paper No. 11, September 2015, ISBN No. 979-10-92620-08-5, https://www.etsi.org/
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[7] Andika Hairuman, Amalia Zahra, Gede P. Kusuma, Dina F. Murad, MEC Deployment with Distributed Cloud in 4G Network for 5G success, 2019 6th ICITACEE, 26-27 September 2019, DOI:10.1109/ICITACEE.2019.8904270
[8] OMNeT++, [online] https://omnetpp.org/
[9] INET Framework, [online] https://inet.omnetpp.org/
[10] SimuLTE, [online] https://simulte.com/
[11] Cisco Annual Internet Report, Cisco public White paper, 2018-2023
[12] Yi-Chieh Fu , Multicast Live Streaming Service of SIP Based on Multi-access Edge Computing, June 2021, http://etd.ndhu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22G0610621204%22.&searchmode=basic
[13] Sami Kekki, Walter Featherstone, Yonggang Fang, Pekka Kuure, Alice Li, Anurag Ranjan, Debashish Purkayastha, Feng Jiangping, Danny Frydman, Gianluca Verin, Kuo-Wei Wen, Kwihoon Kim, Rohit Arora, Andy Odgers, Luis M. Contreras, Salvatore Scarpina, “MEC in 5G networks,” ETSI White Paper No. 28, June 2018
[14] Cisco, Software-Defined Networking: Why We Like It and How We Are Building On It, White paper, 2013
[15] Ciena, What is SDN?, [online] https://www.ciena.com/insights/what-is/What-Is-SDN.html
[16] GSMA, An Introduction to Network Slicing, 2017, https://www.gsma.com/futurenetworks/resources/an-introduction-to-network-slicing-2/
[17] Mahsid Mehrabi, Hani Salah, Frank H. P. Fitzek, “A survey on Mobility Management for MEC-enabled Systems,” 2019 IEEE 2nd 5G World Forum (5GWF), 2019, pp. 259-263, DOI: 10.1109/5GWF.2019.8911620
[18] Domenico Scotece, Claudio Fiandrino and Luca Foschini, "On the Efficiency of Service and Data Handoff Protocols in Edge Computing Systems," 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6, DOI: 10.1109/GLOBECOM46510.2021.9685975
[19] Pengyuan Zhou, Benjamin Finley, Xuebing Li, Sasu Tarkoma, Jussi Kangasharju, Mostafa Ammar, Pan Hui, 5G MEC Computation Handoff for Mobile Augmented Reality,” arXiv:2101.00256v1 [cs.NI], 1 January 2021, https://doi.org/10.48550/arXiv.2101.00256
 
 
 
 
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