Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/6758
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dc.contributor.authorHasan, M.K.
dc.contributor.authorIsmail, A.F.
dc.contributor.authorAbdalla, A.-H.
dc.contributor.authorHashim, W.
dc.contributor.authorIslam, S.
dc.date.accessioned2017-12-08T10:10:16Z-
dc.date.available2017-12-08T10:10:16Z-
dc.date.issued2015
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/6758-
dc.description.abstractTo extend the coverage and capacity of Heterogeneous Networks (HetNets), femtocells (HeNodeBs) has been impressive to deploy in in-house or apartment. Owing to co-channel spectrum involvement these HeNodeB sources Co- Tier interference (CTI) with neighbor HeNodeBs and users of HeNodeB (HUE) in orthogonal frequency division multiplexing Access (OFDMA). As a result, CTI is occurred which causes of system throughput degradation. This paper investigates the OFDMA subcarrier allocation techniques and algorithms. A Genetic Algorithm based Subcarrier Allocation (GA-SA) framework is evaluated to enhanced throughput of HeNodeB and HUE. The enhancement of the system throughput and Signal to Interference Noise Ratio (SINR) is analyzed to mitigate CTI. The system level simulation is considered to evaluate the performance of the framework. The results show that the throughput is enhanced for HUE and HeNodeB, which can mitigate the CTI in OFDMA. © 2006-2015 Asian Research Publishing Network (ARPN).
dc.titleThroughput evaluation for the downlink scenario of co-tier interference in heterogeneous network
item.fulltextNo Fulltext-
item.grantfulltextnone-
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