Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.820287
Title: A phase-space approach for predicting signal strength in wireless communication systems
Author: Blakaj, Valon
ISNI:       0000 0004 9354 9317
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2020
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Abstract:
It has been suggested that the new generation of wireless communication, known as fifth generation (5G), will operate at very high frequencies, ranging from microwave (6 GHz) to mmWave (above 60 GHz). Although, these frequency bands offer the possibility to increase the communication capacity, less is known about the propagation characteristics in indoor and outdoor environments. Wave propagation prediction is a challenging task at these frequencies, and will need new modelling tools in addition to those used to designing current wireless systems, and as well needing to include complexity of the environment at much finer scale. Motivated by this fact, in this thesis we present a phase-space method for predicting signal strength in wireless communications systems. Initially, we discuss the effects of small changes on the propagation environment by studying classical diffusion in a corrugated channel. Even though this system is simple, it exhibits rich dynamical behaviour. In particular, by changing the level of corrugation we are able to mimic different propagation regimes, where we observe that even small changes cause significant effects on the distribution of wave energy. Due to the short wavelengths involved, diffusive wave fields from rough surfaces will be an important propagation mechanism in future wireless communication systems. Thus, to consider for such effects, we present here a phase-space method for predicting wave fields reflected from random surfaces. By further comparing the proposed model with full-wave calculations we are able to examine its range of validity. The validation results show good agreement for surfaces with different levels of roughness. In the last part of this work we detail Dynamical Energy Analysis (DEA) for the purpose of predicting signal strength in wireless communication systems. By combining this method together with model that takes into account the scattered wave-fields from random surfaces, we are also able to show the effects of surface roughness on distribution of wave energy for the problem at hand. In addition, we also discuss here the effects of surface roughness on the angle of arrival (AoA). Here we find that even surfaces with a moderate level of roughness have a significant effect on the angle of arrival and distribution of wave energy.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.820287  DOI: Not available
Keywords: TK5101 Telecommunication
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