5G Propagation Models
| dc.contributor.advisor | Dama, Dr.Yousef | |
| dc.contributor.author | Esawi, Hala | |
| dc.contributor.author | Masri, Hana | |
| dc.contributor.author | Abu Assab, Shorouq | |
| dc.date.accessioned | 2017-09-24T07:52:43Z | |
| dc.date.available | 2017-09-24T07:52:43Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Future mobile communications systems are likely to be very different to those of today with new service innovations driven by increasing data traffic demand, increasing processing power of smart devices and new innovative applications. To meet these service demands the telecommunications industry is converging on a common set of 5G requirements which includes network speeds as high as 10 Gbps, cell edge rate greater than 100 Mbps, and latency of less than 1 msec. In our first project, we present a preliminary overview of the 5G channel models for bands up to 100 GHz in outdoor scenarios. Then it we focus on extensive simulation using ray tracing across frequency bands from 6 GHz to 100 GHz with stress on 50 GHz band. Shifting from voice to multimedia services is the new focus of wireless communication. There is a growing concern in providing and improving radio coverage for mobile phones, short range radios and WLANs inside buildings. The need of coverage appears mainly in office buildings, shopping malls, train stations where the subscriber intensity is very high. The cost of the one of indoor wireless systems and also cellular systems depend heavily on the number of base stations required to achieve the required coverage for a given level of field strength. Already there are diverse optimizations methods published which can be applied to the optimal design of such indoor networks. Common drawback of the methods is the slow convergence in a complex environment like the indoor one. In our second project, we focus on 5G channel models indoor scenarios. We made many trials and applied a certain mechanism within specific steps. After a lot of analysis and calculations we get a rule equation representing path loss for indoor scenarios. | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/10178 | |
| dc.language.iso | en_US | en_US |
| dc.title | 5G Propagation Models | en_US |
| dc.type | Graduation Project | en_US |
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