On the analysis of human mobility model for content broadcasting in 5G networks

Handle URI:
http://hdl.handle.net/10754/627859
Title:
On the analysis of human mobility model for content broadcasting in 5G networks
Authors:
Lau, Chun Pong; Alabbasi, Abdulrahman; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Today's mobile service providers aim at ensuring end-to-end performance guarantees. Hence, ensuring an efficient content delivery to end users is highly required. Currently, transmitting popular contents in modern mobile networks rely on unicast transmission. This result into a huge underutilization of the wireless bandwidth. The urban scale mobility of users is beneficial for mobile networks to allocate radio resources spatially and temporally for broadcasting contents. In this paper, we conduct a comprehensive analysis on a human activity/mobility model and the content broadcasting system in 5G mobile networks. The objective of this work is to describe how human daily activities could improve the content broadcasting efficiency. We achieve the objective by analyzing the transition probabilities of a user traveling over several places according to the change of states of daily human activities. Using a reallife simulation, we demonstrate the relationship between the human mobility and the optimization objective of the content broadcasting system.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program
Citation:
Lau CP, Alabbasi A, Shihada B (2017) On the analysis of human mobility model for content broadcasting in 5G networks. 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Available: http://dx.doi.org/10.1109/PIMRC.2017.8292199.
Publisher:
IEEE
Journal:
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Conference/Event name:
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Issue Date:
15-Feb-2018
DOI:
10.1109/PIMRC.2017.8292199
Type:
Conference Paper
Additional Links:
https://ieeexplore.ieee.org/document/8292199/
Appears in Collections:
Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLau, Chun Pongen
dc.contributor.authorAlabbasi, Abdulrahmanen
dc.contributor.authorShihada, Basemen
dc.date.accessioned2018-05-14T13:37:06Z-
dc.date.available2018-05-14T13:37:06Z-
dc.date.issued2018-02-15en
dc.identifier.citationLau CP, Alabbasi A, Shihada B (2017) On the analysis of human mobility model for content broadcasting in 5G networks. 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Available: http://dx.doi.org/10.1109/PIMRC.2017.8292199.en
dc.identifier.doi10.1109/PIMRC.2017.8292199en
dc.identifier.urihttp://hdl.handle.net/10754/627859-
dc.description.abstractToday's mobile service providers aim at ensuring end-to-end performance guarantees. Hence, ensuring an efficient content delivery to end users is highly required. Currently, transmitting popular contents in modern mobile networks rely on unicast transmission. This result into a huge underutilization of the wireless bandwidth. The urban scale mobility of users is beneficial for mobile networks to allocate radio resources spatially and temporally for broadcasting contents. In this paper, we conduct a comprehensive analysis on a human activity/mobility model and the content broadcasting system in 5G mobile networks. The objective of this work is to describe how human daily activities could improve the content broadcasting efficiency. We achieve the objective by analyzing the transition probabilities of a user traveling over several places according to the change of states of daily human activities. Using a reallife simulation, we demonstrate the relationship between the human mobility and the optimization objective of the content broadcasting system.en
dc.publisherIEEEen
dc.relation.urlhttps://ieeexplore.ieee.org/document/8292199/en
dc.titleOn the analysis of human mobility model for content broadcasting in 5G networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.identifier.journal2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)en
dc.conference.date2017-10-08 to 2017-10-13en
dc.conference.name28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017en
dc.conference.locationMontreal, QC, CANen
dc.contributor.institutionSchool of Information and Communication Technology, Royal Institute of Technology (KTH), Stockholm, SE-100 44, , Swedenen
kaust.authorLau, Chun Pongen
kaust.authorShihada, Basemen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.