Cited 0 time in webofscience Cited 0 time in scopus

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
Authors
Hewon Cho
DGIST Authors
Cho, Hewon; Cui, Ying; Lee, Jemin
Advisor(s)
이제민
Co-Advisor(s)
Ying Cui
Issue Date
2019
Available Date
2019-10-03
Degree 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
URI
http://dgist.dcollection.net/common/orgView/200000171484
http://hdl.handle.net/20.500.11750/10744
DOI
10.22703/thesis.200000171484
Degree
MASTER
Department
Information and Communication Engineering
University
DGIST
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringThesesMaster


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE