Cognitive downlink Interference management  in Long Term Evolutionfemtocel

Elfadul, Nahla AwadElkarim; Supervisor ,-  Ibrahim Khider

dc.contributor.author	Elfadul, Nahla AwadElkarim
dc.contributor.author	Supervisor ,- Ibrahim Khider
dc.date.accessioned	2013-09-30T06:46:38Z
dc.date.available	2013-09-30T06:46:38Z
dc.date.issued	2012-07-04
dc.identifier.citation	Elfadul, 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.uri	http://repository.sustech.edu/handle/123456789/1777
dc.description	Thesis	en_US
dc.description.abstract	The 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.iso	en	en_US
dc.publisher	Sudan University of Science & Technology	en_US
dc.subject	Interference	en_US
dc.subject	Management	en_US
dc.title	Cognitive downlink Interference management in Long Term Evolutionfemtocel	en_US
dc.type	Thesis	en_US