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Performance analysis of spectrum sensing methods: A numerical approach

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dc.citedby2
dc.contributor.authorHasan M.K.en_US
dc.contributor.authorIsmail A.F.en_US
dc.contributor.authorAbdalla A.H.en_US
dc.contributor.authorRamli H.A.M.en_US
dc.contributor.authorIslam S.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorid55057479600en_US
dc.contributor.authorid36602773900en_US
dc.contributor.authorid24823900300en_US
dc.contributor.authorid35410461900en_US
dc.contributor.authorid56854827500en_US
dc.contributor.authorid11440260100en_US
dc.date.accessioned2023-05-29T06:00:50Z
dc.date.available2023-05-29T06:00:50Z
dc.date.issued2015
dc.descriptionErrors; Femtocell; Heterogeneous networks; Intelligent systems; Monte Carlo methods; Numerical methods; Orthogonal frequency division multiplexing; Critical challenges; HetNeT; Numerical approaches; Orthogonal frequency division multiplexing systems; Performance analysis; Spectrum; Spectrum detection; Spectrum sensing techniques; Long Term Evolution (LTE)en_US
dc.description.abstractRecent enhancement of Long Term Evolution / Advanced (LTE/LTE-A) is aimed to increase the throughput of the Orthogonal Frequency Division Multiplexing (OFDM) system. This is quite obvious where both frequency and time division are employed in order to augment the system capacity. In LTE/LTE-A heterogeneous Networks (Het Nets), femto cells (He Node Bs) are the optimal choice to extend the coverage within indoor environment. Nonetheless, the deployment of such base stations, somewhat to certain extent, does create cross-tier and co-tier interferences with the macro cell users (UEmacro-eNB) that ostensibly can become a critical challenge. It is implied that the unutilized / idle spectrums reallocation might be one of the solutions to mitigate such challenge. However, the errorless spectrum sensing does pose another issue. This paper outlines the investigation findings where spectrum sensing techniques is deployed to maximize the spectrum detection capacity with minimum error in OFDM based Het Nets. In addition, in the attempt to increase the efficiency of spectrum resources, this paper proposes a sensing technique which is imposed over advanced energy detection technique to detect the idle spectrums. The result of the proposed scheme is evaluated using Monte Carlo simulation. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7031634
dc.identifier.doi10.1109/ICCCE.2014.63
dc.identifier.epage196
dc.identifier.scopus2-s2.0-84924245320
dc.identifier.spage193
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84924245320&doi=10.1109%2fICCCE.2014.63&partnerID=40&md5=0064767c94efda7975719147b94976c9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22414
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 5th International Conference on Computer and Communication Engineering: Emerging Technologies via Comp-Unication Convergence, ICCCE 2014
dc.titlePerformance analysis of spectrum sensing methods: A numerical approachen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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