CogWnet: A Resource Management Architecture for Cognitive Wireless Networks

Handle URI:
http://hdl.handle.net/10754/362479
Title:
CogWnet: A Resource Management Architecture for Cognitive Wireless Networks
Authors:
Alqerm, Ismail ( 0000-0002-5960-0663 ) ; Shihada, Basem ( 0000-0003-4434-4334 ) ; Shin, Kang G.
Abstract:
With the increasing adoption of wireless communication technologies, there is a need to improve management of existing radio resources. Cognitive radio is a promising technology to improve the utilization of wireless spectrum. Its operating principle is based on building an integrated hardware and software architecture that configures the radio to meet application requirements within the constraints of spectrum policy regulations. However, such an architecture must be able to cope with radio environment heterogeneity. In this paper, we propose a cognitive resource management architecture, called CogWnet, that allocates channels, re-configures radio transmission parameters to meet QoS requirements, ensures reliability, and mitigates interference. The architecture consists of three main layers: Communication Layer, which includes generic interfaces to facilitate the communication between the cognitive architecture and TCP/IP stack layers; Decision-Making Layer, which classifies the stack layers input parameters and runs decision-making optimization algorithms to output optimal transmission parameters; and Policy Layer to enforce policy regulations on the selected part of the spectrum. The efficiency of CogWnet is demonstrated through a testbed implementation and evaluation.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2013 22nd International Conference on Computer Communication and Networks (ICCCN)
Conference/Event name:
2013 IEEE 2013 22nd International Conference on Computer Communication and Networks, ICCCN 2013
Issue Date:
Jul-2013
DOI:
10.1109/ICCCN.2013.6614115
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6614115
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.contributor.authorShin, Kang G.en
dc.date.accessioned2015-04-09T06:43:24Zen
dc.date.available2015-04-09T06:43:24Zen
dc.date.issued2013-07en
dc.identifier.doi10.1109/ICCCN.2013.6614115en
dc.identifier.urihttp://hdl.handle.net/10754/362479en
dc.description.abstractWith the increasing adoption of wireless communication technologies, there is a need to improve management of existing radio resources. Cognitive radio is a promising technology to improve the utilization of wireless spectrum. Its operating principle is based on building an integrated hardware and software architecture that configures the radio to meet application requirements within the constraints of spectrum policy regulations. However, such an architecture must be able to cope with radio environment heterogeneity. In this paper, we propose a cognitive resource management architecture, called CogWnet, that allocates channels, re-configures radio transmission parameters to meet QoS requirements, ensures reliability, and mitigates interference. The architecture consists of three main layers: Communication Layer, which includes generic interfaces to facilitate the communication between the cognitive architecture and TCP/IP stack layers; Decision-Making Layer, which classifies the stack layers input parameters and runs decision-making optimization algorithms to output optimal transmission parameters; and Policy Layer to enforce policy regulations on the selected part of the spectrum. The efficiency of CogWnet is demonstrated through a testbed implementation and evaluation.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6614115en
dc.rights(c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleCogWnet: A Resource Management Architecture for Cognitive Wireless Networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2013 22nd International Conference on Computer Communication and Networks (ICCCN)en
dc.conference.date30 July 2013 through 2 August 2013en
dc.conference.name2013 IEEE 2013 22nd International Conference on Computer Communication and Networks, ICCCN 2013en
dc.conference.locationNassauen
dc.eprint.versionPost-printen
dc.contributor.institutionDept. of Electrical Engineering and Computer Science, University of Michigan, USAen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorShihada, Basemen
kaust.authorAlqerm, Ismailen
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