Advanced Ray Tracing Techniques for Evaluation of mmWave 5G Performance
Nowadays, due to explosive growth in the number of mobile devices, as well as the introduction of many multimedia applications, the consumption of cellular data traffic exponentially increases. At the same time, the existing 4G wireless technologies will not be able to meet this trend in the nearest future. Therefore, the novel 5th generation (5G) networks are proposed to satisfy the high data traffic needs. Up to date, the gradual deployment of the 5G is in progress in many countries.
Besides traditional sub-6 GHz microwave (uWave) spectrum, the 5G communication introduces novel millimeter-wave (mmWave) bands which diminishes spectrum scarcity and provide relatively huge bandwidth (up to several GHz) for the bandwidth-hungry applications. Because the mmWave spectrum has less than 1 cm wavelength, implementation of compact high-gain antenna arrays, operating in multi-input and multi-output (MIMO) mode become feasible. Oppositely, the mmWave bands experience higher pathloss and atmosphere attenuation, as well as notable diffuse scattering against the uWave.
In the proposed research, advanced ray tracing methodology is developed and utilized to simulate the propagation mechanisms and their effect on the system-level metrics. The main novelty of this work is in the introduction of standard mmWave 5G technologies into channel modelling and propagation specifics into the system-level simulation, as well as the adaptation of the ray tracing methods to support extensive simulations with multiple antennas. The results of the study, first, extend the possibilities of typical ray tracing, and second, offer new ideas on extensive simulations of mmWave 5G and beyond.
The doctoral dissertation of Dmitrii Solomitckii in the field of wireless communication titled Evaluation of mmWave 5G Performance by Advanced Ray Tracing Techniques will be publicly examined in the Faculty of Information Technology and Communication Sciences at Tampere University at 12 o'clock on Tuesday 10.12.2019 in Tietotalo building lecture hall TB207, Korkeakoulunkatu 10, Tampere. The Opponent will be Professor Thomas Kürner from Technical University of Braunschweig. The Custos will Professor Yevgeni Koucheryavy from Faculty of Information Technology and Communication Sciences.
The dissertation is available online at http://urn.fi/URN:ISBN:978-952-03-1369-2