Cognitive Aware Interference Mitigation Scheme for OFDMA Femtocells

Handle URI:
http://hdl.handle.net/10754/362467
Title:
Cognitive Aware Interference Mitigation Scheme for OFDMA Femtocells
Authors:
Alqerm, Ismail; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
Femto-cells deployment in today’s cellular networks came into practice to fulfill the increasing demand for data services. It also extends the coverage in the indoor areas. However, interference to other femto and macro-cells users remains an unresolved challenge. In this paper, we propose an interference mitigation scheme to control the cross-tier interference caused by femto-cells to the macro users and the co-tier interference among femtocells. Cognitive radio spectrum sensing capability is utilized to determine the non-occupied channels or the ones that cause minimal interference to the macro users. An awareness based channel allocation scheme is developed with the assistance of the graph-coloring algorithm to assign channels to the femto-cells base stations with power optimization, minimal interference, maximum throughput, and maximum spectrum efficiency. In addition, the scheme exploits negotiation capability to match traffic load and QoS with the channel, and to maintain efficient utilization of the available channels.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
I. Qerm and B. Shihada, "Cognitive Aware Interference Mitigation Scheme for OFDMA Femtocells", in Proc. International Conference on Cognitive Radio Oriented Wireless Networks (Crowncom)
Publisher:
Springer
Journal:
International Conference on Cognitive Radio Oriented Wireless Networks (Crowncom)
Issue Date:
9-Apr-2015
Type:
Conference Paper
Additional Links:
http://www.shihada.com/node/publications/CogFemto.pdf
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlqerm, Ismailen
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-09T06:55:10Zen
dc.date.available2015-04-09T06:55:10Zen
dc.date.issued2015-04-09en
dc.identifier.citationI. Qerm and B. Shihada, "Cognitive Aware Interference Mitigation Scheme for OFDMA Femtocells", in Proc. International Conference on Cognitive Radio Oriented Wireless Networks (Crowncom)en
dc.identifier.urihttp://hdl.handle.net/10754/362467en
dc.description.abstractFemto-cells deployment in today’s cellular networks came into practice to fulfill the increasing demand for data services. It also extends the coverage in the indoor areas. However, interference to other femto and macro-cells users remains an unresolved challenge. In this paper, we propose an interference mitigation scheme to control the cross-tier interference caused by femto-cells to the macro users and the co-tier interference among femtocells. Cognitive radio spectrum sensing capability is utilized to determine the non-occupied channels or the ones that cause minimal interference to the macro users. An awareness based channel allocation scheme is developed with the assistance of the graph-coloring algorithm to assign channels to the femto-cells base stations with power optimization, minimal interference, maximum throughput, and maximum spectrum efficiency. In addition, the scheme exploits negotiation capability to match traffic load and QoS with the channel, and to maintain efficient utilization of the available channels.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttp://www.shihada.com/node/publications/CogFemto.pdfen
dc.rightsThe final publication is available at Springer via http://www.springer.comen
dc.titleCognitive Aware Interference Mitigation Scheme for OFDMA Femtocellsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalInternational Conference on Cognitive Radio Oriented Wireless Networks (Crowncom)en
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
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