Energy-Aware Cognitive Radio Systems

Handle URI:
http://hdl.handle.net/10754/596263
Title:
Energy-Aware Cognitive Radio Systems
Authors:
Bedeer, Ebrahim; Amin, Osama; Dobre, Octavia A.; Ahmed, Mohamed H.
Abstract:
The concept of energy-aware communications has spurred the interest of the research community in the most recent years due to various environmental and economical reasons. It becomes indispensable for wireless communication systems to shift their resource allocation problems from optimizing traditional metrics, such as throughput and latency, to an environmental-friendly energy metric. Although cognitive radio systems introduce spectrum efficient usage techniques, they employ new complex technologies for spectrum sensing and sharing that consume extra energy to compensate for overhead and feedback costs. Considering an adequate energy efficiency metric—that takes into account the transmit power consumption, circuitry power, and signaling overhead—is of momentous importance such that optimal resource allocations in cognitive radio systems reduce the energy consumption. A literature survey of recent energy-efficient based resource allocations schemes is presented for cognitive radio systems. The energy efficiency performances of these schemes are analyzed and evaluated under power budget, co-channel and adjacent-channel interferences, channel estimation errors, quality-of-service, and/or fairness constraints. Finally, the opportunities and challenges of energy-aware design for cognitive radio systems are discussed.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Bedeer, E., Amin, O., Dobre, O.A. and Ahmed, M.H., 2016. Energy-Aware Cognitive Radio Systems. In Energy Management in Wireless Cellular and Ad-hoc Networks (pp. 247-272). Springer International Publishing.
Publisher:
Springer Science + Business Media
Journal:
Energy Management in Wireless Cellular and Ad-hoc Networks
Issue Date:
15-Jan-2016
DOI:
10.1007/978-3-319-27568-0_11
Type:
Book Chapter
ISSN:
2198-4182
ISBN:
978-3-319-27566-6
Additional Links:
http://link.springer.com/chapter/10.1007%2F978-3-319-27568-0_11
Appears in Collections:
Book Chapters; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorBedeer, Ebrahimen
dc.contributor.authorAmin, Osamaen
dc.contributor.authorDobre, Octavia A.en
dc.contributor.authorAhmed, Mohamed H.en
dc.date.accessioned2016-02-15T13:33:48Zen
dc.date.available2016-02-15T13:33:48Zen
dc.date.issued2016-01-15en
dc.identifier.citationBedeer, E., Amin, O., Dobre, O.A. and Ahmed, M.H., 2016. Energy-Aware Cognitive Radio Systems. In Energy Management in Wireless Cellular and Ad-hoc Networks (pp. 247-272). Springer International Publishing.en
dc.identifier.isbn978-3-319-27566-6en
dc.identifier.issn2198-4182en
dc.identifier.doi10.1007/978-3-319-27568-0_11en
dc.identifier.urihttp://hdl.handle.net/10754/596263en
dc.description.abstractThe concept of energy-aware communications has spurred the interest of the research community in the most recent years due to various environmental and economical reasons. It becomes indispensable for wireless communication systems to shift their resource allocation problems from optimizing traditional metrics, such as throughput and latency, to an environmental-friendly energy metric. Although cognitive radio systems introduce spectrum efficient usage techniques, they employ new complex technologies for spectrum sensing and sharing that consume extra energy to compensate for overhead and feedback costs. Considering an adequate energy efficiency metric—that takes into account the transmit power consumption, circuitry power, and signaling overhead—is of momentous importance such that optimal resource allocations in cognitive radio systems reduce the energy consumption. A literature survey of recent energy-efficient based resource allocations schemes is presented for cognitive radio systems. The energy efficiency performances of these schemes are analyzed and evaluated under power budget, co-channel and adjacent-channel interferences, channel estimation errors, quality-of-service, and/or fairness constraints. Finally, the opportunities and challenges of energy-aware design for cognitive radio systems are discussed.en
dc.language.isoenen
dc.publisherSpringer Science + Business Mediaen
dc.relation.urlhttp://link.springer.com/chapter/10.1007%2F978-3-319-27568-0_11en
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-27568-0_11en
dc.titleEnergy-Aware Cognitive Radio Systemsen
dc.typeBook Chapteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalEnergy Management in Wireless Cellular and Ad-hoc Networksen
dc.eprint.versionPost-printen
dc.contributor.institutionUniversity of British Columbia, 3333 University Way, Kelowna, BC, V1V 1V7, Canadaen
dc.contributor.institutionMemorial University of Newfoundland, St. John’s, NL, A1B 3X5, Canadaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAmin, Osamaen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.