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Interference Reduction Between Device to Device Communication Underlying Cellular Networks

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dc.contributor.author Gismalla, Mohammed Salih Mohammed
dc.contributor.author Supervisor - Ibrahim Khider Eltahir
dc.date.accessioned 2015-06-04T10:57:51Z
dc.date.available 2015-06-04T10:57:51Z
dc.date.issued 2015-03-01
dc.identifier.citation Gismalla ,Mohammed Salih Mohammed .Interference Reduction Between Device to Device Communication Underlying Cellular Networks /Mohammed Salih Mohammed Gismalla ;Ibrahim Khider Eltahir .-khartoum :Sudan University of Science and Technology ,Engineering,2015 .-58p. :ill. ;28cm .-M.Sc. en_US
dc.identifier.uri http://repository.sustech.edu/handle/123456789/10956
dc.description Thesis en_US
dc.description.abstract One of the main issues in international mobile telecommunications (IMT) -Advanced systems is how to improve the local area services and spectrum efficiency. Device-to-device (D2D) communication underlay with cellular networks allows direct communication between mobile users. D2D is an attractive approach for dealing with local traffic in 4G cellular networks systems. The purpose of this project is to reduce the interference for D2D communication underlay cellular network and to study the log distance model in different environment with greedy grouping algorithm and compare the results. All results are provided with three different SINR requirements, such as 6dB, 9dB and 12dB for the greedy grouping algorithm. The simulation is applied to lengths 500m, 250m, 100m and 50m for 150 links and 50 links. For each group of links the indoor, free space, urban, sub urban areas are implemented, when links are very long, it has been hard to form a group of links which can operate simultaneously. As decreasing the link lengths progressively, more links have combined to the same group, moreover when the minimum distance requirement is very long or greater than the diameter of the cell then it cause severe interference to other nodes, this interference can be reduce by decreasing the links distance of D2D. All simulation results of different areas are grouped by greedy algorithm and compared with each other; the results show that the log distance model is best in sub urban areas. en_US
dc.description.sponsorship Sudan University of Science and Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science and Technology en_US
dc.subject Electronics Engineering en_US
dc.subject Communication devices en_US
dc.subject Cellular networks en_US
dc.title Interference Reduction Between Device to Device Communication Underlying Cellular Networks en_US
dc.title.alternative تخفيض التداخل بين أجهزة الاتصال ضمن الشبكات الخليوية en_US
dc.type Thesis en_US


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