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Edge computing on mobile devices in next generation RAN architecture
Descriptive
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Title
Edge computing on mobile devices in next generation RAN architecture
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Qiu
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Brian
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Brian Qiu
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author
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Dario
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Dario Pompili
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Advisory Committee
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chair
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El Rouayheb
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Salim
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Salim El Rouayheb
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Advisory Committee
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internal member
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Zonouz
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Saman
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Saman Zonouz
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Advisory Committee
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Rutgers University
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School of Graduate Studies
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theses
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ETD graduate
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2021
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2021-01
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2021
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English
Abstract
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Cloud Radio Access Networks (C-RAN) is a new paradigm within mobile telecommunication systems. C-RAN represents a shift from traditional C-RAN represents a shift from traditional C-RAN represents a shift from traditional Stand alone radio base stations (BS) which are costly to setup and suffer from under utilization of fluctuating users. C-RAN represents a shift to pooling of base station resources in a Baseband Units (BBU) as well distributed remote radio heads (RRH). With the addition of centralized resources, mobile networks are moving towards real-time virtualised platforms and open interoperable interfaces, replacing the monolithic vendor provider model with a flexible resource market pool.
Next Generation RAN (NG-RAN) represents a next stage in radio networks, leveraging Software Defined Radios and Software Defined Networks to provide increased flexibility in the provisioning of radio and computing resources to mobile networks. Unlike pure cloud providers, NG-RAN provides true edge computing capabilities that allow for new class of low-latency and approximate computation applications.
The works presented here examines an architecture for improved urban localization using through a Mobile Augmented Reality application. Using a localized edge nodes, we are show improved latency improvements over traditional cloud based times.
Additionally, a detailed dive on NG-RAN Virtualisation techniques is examined through use of containers. Finally, a examination into the privacy issues of uploading sensitive data and a system for mobile continuous authentication is examined.
Next Generation RAN (NG-RAN) represents a next stage in radio networks, leveraging Software Defined Radios and Software Defined Networks to provide increased flexibility in the provisioning of radio and computing resources to mobile networks. Unlike pure cloud providers, NG-RAN provides true edge computing capabilities that allow for new class of low-latency and approximate computation applications.
The works presented here examines an architecture for improved urban localization using through a Mobile Augmented Reality application. Using a localized edge nodes, we are show improved latency improvements over traditional cloud based times.
Additionally, a detailed dive on NG-RAN Virtualisation techniques is examined through use of containers. Finally, a examination into the privacy issues of uploading sensitive data and a system for mobile continuous authentication is examined.
Subject
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Topic
CRAN
Subject
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Topic
Electrical and Computer Engineering
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Rutgers University Electronic Theses and Dissertations
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ETD_11445
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text/xml
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1 online resource (xi, 47 pages) : illustrations
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M.S.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier
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doi:10.7282/t3-9jc2-v567
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
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Qiu
GivenName
Brian
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Permission or license
DateTime
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2021-01-05 22:52:37
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Brian Qiu
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2021-01-31
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2022-01-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after January 31st, 2022.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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windows xp
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2021-02-05T15:10:33
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2021-01-08T19:22:52
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