Handle URI:
http://hdl.handle.net/10754/624816
Title:
Energy Efficient Power Allocation for Cognitive MIMO Channels
Authors:
Sboui, Lokman ( 0000-0003-1134-4055 ) ; Rezki, Zouheir; Salem, Ahmed Sultan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Two major issues are facing today s wireless communications evolution: -Spectrum scarcity: Need for more bandwidth. As a solution, the Cognitive Radio (CR) paradigm, where secondary users (unlicensed) share the spectrum with licensed users, was introduced. -Energy consumption and CO2 emission: The ICT produces 2% of global CO2 emission (equivalent to the aviation industry emission). The cellular networks produces 0.2%. As solution energy efficient systems should be designed rather than traditional spectral efficient systems. In this work, an energy efficient power allocation framework based on maximizing the average EE per parallel channel is presented.
KAUST Department:
Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Conference/Event name:
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)
Issue Date:
6-Jan-2016
Type:
Poster
Appears in Collections:
Posters; Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)

Full metadata record

DC FieldValue Language
dc.contributor.authorSboui, Lokmanen
dc.contributor.authorRezki, Zouheiren
dc.contributor.authorSalem, Ahmed Sultanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-06-08T06:32:27Z-
dc.date.available2017-06-08T06:32:27Z-
dc.date.issued2016-01-06-
dc.identifier.urihttp://hdl.handle.net/10754/624816-
dc.description.abstractTwo major issues are facing today s wireless communications evolution: -Spectrum scarcity: Need for more bandwidth. As a solution, the Cognitive Radio (CR) paradigm, where secondary users (unlicensed) share the spectrum with licensed users, was introduced. -Energy consumption and CO2 emission: The ICT produces 2% of global CO2 emission (equivalent to the aviation industry emission). The cellular networks produces 0.2%. As solution energy efficient systems should be designed rather than traditional spectral efficient systems. In this work, an energy efficient power allocation framework based on maximizing the average EE per parallel channel is presented.en
dc.subjectWirelessen
dc.titleEnergy Efficient Power Allocation for Cognitive MIMO Channelsen
dc.typePosteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)en
dc.conference.dateJanuary 5-10, 2016en
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)en
dc.conference.locationKAUSTen
kaust.authorSboui, Lokmanen
kaust.authorRezki, Zouheiren
kaust.authorSalem, Ahmed Sultanen
kaust.authorAlouini, Mohamed-Slimen
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