Coordinated Multi-Point User Task Scheduling for 5-G Cloud Radio Access Networks

Simple item page
dc.contributor.advisorChen, Ji
dc.contributor.committeeMemberBenhaddou, Driss
dc.contributor.committeeMemberHan, Zhu
dc.contributor.committeeMemberBhaskar, Vidhyacharan
dc.creatorHarikumar, Mayuri
dc.date.accessioned2018-03-13T13:21:25Z
dc.date.available2018-03-13T13:21:25Z
dc.date.createdDecember 2017
dc.date.issued2017-12
dc.date.submittedDecember 2017
dc.date.updated2018-03-13T13:21:26Z
dc.description.abstractServing the cell edge user has always been a challenge. Traditional approaches entail increasing the transmit power at the base station, initiate a handover process or use base station cooperation. Increasing the transmit power increases the inter cell interference and only marginally increases the throughput of cell edge user and in a dense cellular network frequent handovers will increase signaling overhead. With the advent of 4G-LTE, relays and base station cooperation techniques like Coordinated Multipoint (CoMP) were explored, however tight synchronization and large signaling overheads made it impossible to arrive at an optimal solution. Futuristic cellular networks like 5G will exist in the telecomm cloud and will comprise of heterogeneous cellular architecture consisting of numerous micro and femto cells, making the cell edge user service all the more important. The telecomm cloud will consist of virtualized Base Band Units (VBBUs), which are basically Virtual Machines (VMs) in a datacenter. This thesis proposes a CoMP user task scheduling algorithm in a Cloud Radio Access Network (C-RAN) where the QoS guarantees of each cell edge user (CoMP region user) are taken into consideration while scheduling traffic flows to cloud resources. The eNodeB selectivity of each user’s traffic flow is modelled and its implementation in the cloud is simulated. This allows better utilization of resources by minimizing cost of transmission by transmitting from only a selected few eNodeBs as opposed to all eNodeBs serving the region. The system performance is measured in terms of number of failures, throughput and percentage violation.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/2965
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subject5G
dc.subjectC-RANs
dc.subjectCoordinated Multipoint
dc.subjectCoMP
dc.subjectCloudSim
dc.titleCoordinated Multi-Point User Task Scheduling for 5-G Cloud Radio Access Networks
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2019-12-01
local.embargo.terms2019-12-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentElectrical and Computer Engineering, Department of
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Electrical Engineering

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
HARIKUMAR-THESIS-2017.pdf
Size:
1.99 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
4.43 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.82 KB
Format:
Plain Text
Description:
Download

Collections

Published ETD Collection