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Performance comparisons of sequential and asynchronous iterative water filling algorithm in cognitive smart grid communications

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dc.contributor.authorHiew Y.-K.en_US
dc.contributor.authorAripin N.M.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorid56495343900en_US
dc.contributor.authorid35092180800en_US
dc.contributor.authorid9335429400en_US
dc.date.accessioned2023-05-29T06:11:24Z
dc.date.available2023-05-29T06:11:24Z
dc.date.issued2016
dc.descriptionAdvanced metering infrastructures; Cognitive radio; Communication; Electric power transmission networks; Energy utilization; Filling; Iterative methods; Radio communication; Radio transmission; Asynchronous iterative; Interference level; Iterative water-filling algorithm; Network simulator 2; Performance comparison; Smart grid; Smart Grid Communications; Spectrum leasings; Smart power gridsen_US
dc.description.abstractCognitive radio based smart grid communication allows smart grid users to utilize spectrum bands opportunistically. Cognitive radio does not require spectrum leasing cost, saves users' energy consumption, keeps interference level low, and improves interoperability. In low traffic load environment, cognitive radio is able to support smart grid data transmission. However, the traffic load in Advanced Metering Infrastructure (AMI) can be as high as 1000 kbps or 500 kbps for backhaul. In this paper, the performance of cognitive radio in high traffic load AMI is investigated. Iterative Water Filling Algorithm (IWFA) is implemented upon cognitive radio to maximize the capacity of smart grid users through computing optimal transmit power for each user. The performances of sequential IWFA and asynchronous IWFA in smart grid communication are investigated. Simulation is conducted using Network Simulator 2. Simulation results show that IWFA indeed is able to maximize the capacity of smart grid users. Results also show that the asynchronous IWFA performs better than sequential IWFA. Asynchronous IWFA improves delivery ratio and throughput of cognitive radio based AMI communication by 5.95% and 8.67%, respectively. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7725420
dc.identifier.doi10.1109/MICC.2015.7725420
dc.identifier.epage128
dc.identifier.scopus2-s2.0-84997327494
dc.identifier.spage124
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84997327494&doi=10.1109%2fMICC.2015.7725420&partnerID=40&md5=e84fbc49683d0e19e0a5dbb0ac48eac8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22630
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2015 IEEE 12th Malaysia International Conference on Communications, MICC 2015
dc.titlePerformance comparisons of sequential and asynchronous iterative water filling algorithm in cognitive smart grid communicationsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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