Propagation channel models for 5G mobile networks. Simulation and measurements of 5G propagation channel models for indoor and outdoor environments covering both LOS and NLOS Scenarios
dc.contributor.advisor | Abd-Alhameed, Raed | |
dc.contributor.author | Manan, Waqas | |
dc.date.accessioned | 2019-08-22T14:27:26Z | |
dc.date.available | 2019-08-22T14:27:26Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/10454/17219 | |
dc.description.abstract | At present, the current 4G systems provide a universal platform for broadband mobile services; however, mobile traffic is still growing at an unprecedented rate and the need for more sophisticated broadband services is pushing the limits on current standards to provide even tighter integration between wireless technologies and higher speeds. This has led to the need for a new generation of mobile communications: the so-called 5G. Although 5G systems are not expected to penetrate the market until 2020, the evolution towards 5G is widely accepted to be the logical convergence of internet services with existing mobile networking standards leading to the commonly used term “mobile internet” over heterogeneous networks, with several Gbits/s data rate and very high connectivity speeds. Therefore, to support highly increasing traffic capacity and high data rates, the next generation mobile network (5G) should extend the range of frequency spectrum for mobile communication that is yet to be identified by the ITU-R. The mm-wave spectrum is the key enabling feature of the next-generation cellular system, for which the propagation channel models need to be predicted to enhance the design guidance and the practicality of the whole design transceiver system. The present work addresses the main concepts of the propagation channel behaviour using ray tracing software package for simulation and then results were tested and compared against practical analysis in a real-time environment. The characteristics of Indoor-Indoor (LOS and NLOS), and indoor-outdoor (NLOS) propagations channels are intensively investigated at four different frequencies; 5.8 GHz, 26GHz, 28GHz and 60GHz for vertical polarized directional, omnidirectional and isotropic antennas patterns. The computed data achieved from the 3-D Shooting and Bouncing Ray (SBR) Wireless Insite based on the effect of frequency dependent electrical properties of building materials. Ray tracing technique has been utilized to predict multipath propagation characteristics in mm-wave bands at different propagation environments. Finally, the received signal power and delay spread were computed for outdoor-outdoor complex propagation channel model at 26 GHz, 28 GHz and 60GHz frequencies and results were compared to the theoretical models. | en_US |
dc.language.iso | en | en_US |
dc.rights | <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>. | eng |
dc.subject | Propagation channel | en_US |
dc.subject | 4G | en_US |
dc.subject | 5G | en_US |
dc.subject | Indoor propagation | en_US |
dc.subject | Outdoor propagation | en_US |
dc.subject | Path loss | en_US |
dc.subject | Daily spread | en_US |
dc.subject | Line of Sight (LOS) | en_US |
dc.subject | Non-Line of Sight (NLOS) | en_US |
dc.subject | Wireless communications | en_US |
dc.subject | Shooting and Bouncing Ray (SBR) | en_US |
dc.subject | Mobile networks | en_US |
dc.title | Propagation channel models for 5G mobile networks. Simulation and measurements of 5G propagation channel models for indoor and outdoor environments covering both LOS and NLOS Scenarios | en_US |
dc.type.qualificationlevel | research masters | en_US |
dc.publisher.institution | University of Bradford | eng |
dc.publisher.department | Faculty of Engineering and Informatics | en_US |
dc.type | Thesis | eng |
dc.type.qualificationname | MPhil | en_US |
dc.date.awarded | 2018 | |
refterms.dateFOA | 2019-08-22T14:27:26Z |