Resource allocation based uplink intercell interference model in multi-carrier networks

Handle URI:
http://hdl.handle.net/10754/564723
Title:
Resource allocation based uplink intercell interference model in multi-carrier networks
Authors:
Tabassum, Hina; Yilmaz, Ferkan; Dawy, Zaher; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Intercell interference (ICI) is a primary cause for performance limitation in emerging wireless cellular systems due to its highly indeterministic nature. In this paper, we derive an analytical statistical model for the uplink ICI in a multiuser multi-carrier cellular network considering the impact of various uncoordinated scheduling schemes on the locations and transmit powers of the interferers. The derived model applies to generic composite fading distributions and provides a useful computational tool to evaluate key performance metrics such as the network ergodic capacity. The derived model is extended to incorporate coordinated scheduling schemes. A study is then presented to quantify the potential performance gains of coordinated over uncoordinated scheduling schemes under various base station coordination scenarios. Numerical results demonstrate that different frequency allocation patterns significantly impact the network performance depending on the coordination among neighboring base stations. The accuracy of the derived analytical expressions is verified via Monte-Carlo simulations. © 2013 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Physical Sciences and Engineering (PSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 IEEE 77th Vehicular Technology Conference (VTC Spring)
Conference/Event name:
2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
Issue Date:
Jun-2013
DOI:
10.1109/VTCSpring.2013.6692737
Type:
Conference Paper
ISSN:
15502252
ISBN:
9781467363372
Appears in Collections:
Conference Papers; Physical Sciences and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorTabassum, Hinaen
dc.contributor.authorYilmaz, Ferkanen
dc.contributor.authorDawy, Zaheren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:13:47Zen
dc.date.available2015-08-04T07:13:47Zen
dc.date.issued2013-06en
dc.identifier.isbn9781467363372en
dc.identifier.issn15502252en
dc.identifier.doi10.1109/VTCSpring.2013.6692737en
dc.identifier.urihttp://hdl.handle.net/10754/564723en
dc.description.abstractIntercell interference (ICI) is a primary cause for performance limitation in emerging wireless cellular systems due to its highly indeterministic nature. In this paper, we derive an analytical statistical model for the uplink ICI in a multiuser multi-carrier cellular network considering the impact of various uncoordinated scheduling schemes on the locations and transmit powers of the interferers. The derived model applies to generic composite fading distributions and provides a useful computational tool to evaluate key performance metrics such as the network ergodic capacity. The derived model is extended to incorporate coordinated scheduling schemes. A study is then presented to quantify the potential performance gains of coordinated over uncoordinated scheduling schemes under various base station coordination scenarios. Numerical results demonstrate that different frequency allocation patterns significantly impact the network performance depending on the coordination among neighboring base stations. The accuracy of the derived analytical expressions is verified via Monte-Carlo simulations. © 2013 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleResource allocation based uplink intercell interference model in multi-carrier networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2013 IEEE 77th Vehicular Technology Conference (VTC Spring)en
dc.conference.date2 June 2013 through 5 June 2013en
dc.conference.name2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013en
dc.conference.locationDresdenen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, American University of Beirut (AUB), Beirut, Lebanonen
kaust.authorTabassum, Hinaen
kaust.authorYilmaz, Ferkanen
kaust.authorAlouini, Mohamed-Slimen
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