Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/1777
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dc.contributor.authorElfadul, Nahla AwadElkarim
dc.contributor.authorSupervisor ,- Ibrahim Khider
dc.date.accessioned2013-09-30T06:46:38Z
dc.date.available2013-09-30T06:46:38Z
dc.date.issued2012-07-04
dc.identifier.citationElfadul, Nahla AwadElkarim. Cognitive downlink Interference management in Long Term Evolutionfemtocel: NahlaAwadElkarimElfadul; Ibrahim Khider. - Khartoum :Sudan University of Science & Technology, College of Engineering, 2012. - 71p. : ill. ; 28cm. - M.S.c.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/1777
dc.descriptionThesisen_US
dc.description.abstractThe Project present a vision for 4G cellular networks based on the concept. Long Term Evolution (LTE) has developed a new technology in order to enhance indoor coverage. This new technology is called femtocells (short distance) and is achieved with the use of access points installed by home users. However, interference problem between the femtocells and the macrocell to femtocell decreases the system's capacity. The problem can be solved by process of cognitive interference management in user deployed 4G femtocell networks. Each femtocell cognitively recognizes an interference signature from the network environment and opportunistically locations. The proper channel patterns for interference minimization and base station pilot power is autonomously configured in order to maximize the cellular coverage. Simulation results show great channel SINR improvement . cognitive interference recognition and data rate have improvement in femtocell .en_US
dc.language.isoenen_US
dc.publisherSudan University of Science & Technologyen_US
dc.subjectInterferenceen_US
dc.subjectManagementen_US
dc.titleCognitive downlink Interference management in Long Term Evolutionfemtocelen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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