DGIST Scholar: Optimal Design for Emerging Networks: Ultra Dense and Edge Computing-Enabled Networks

Department of Electrical Engineering and Computer Science Theses Master

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Optimal Design for Emerging Networks: Ultra Dense and Edge Computing-Enabled Networks

Title: Optimal Design for Emerging Networks: Ultra Dense and Edge Computing-Enabled Networks

Author(s): Hewon Cho

DGIST Authors: Lee, Jemin ; Cho, Hewon ; Cui, Ying

Advisor: 이제민

Co-Advisor(s): Ying Cui

Issued Date: 2019

Awarded Date: 2019-02

Type: Thesis

Table Of Contents: I. INTRODUCTION 1
1.1 Backgrounds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Related Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
II. Elevated Base Station Deployment Design in Ultra Dense Network 4
2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.1.1 Network Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.1.2 BS Association Rule . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1.3 Signal-to-Interference Ratio . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 Coverage Probability Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.3 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
III.Distributed Communication in Edge Computing-Enabled Vehicle-to-Everything Network 12
3.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.1.1 Network Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.1.2 Travel Time . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
3.1.3 Successful Transmission Probability . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.1.4 Successful Computation Probability . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3.2 Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.2.1 Optimization Problem Formulation . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.2.2 Maximum Travel Time . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
3.2.3 Transmission Time Constraint . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
3.2.4 Computation Time Constraint . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
3.3 Numerical Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
3.3.1 Simulation Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.3.2 Optimal Distributed Data Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.3.3 Impact of Vehicle Velocity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
3.3.4 Impact of Base Stations Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
IV.CONCLUSIONS 25
References 26