An Improved 5g Wireless Propagation Model Using 3-D Ray-Tracing Technique

Abstract

The wireless communication system has grown dramatically in the last few years. According to global cellular data demand projections, the volume of wireless data expected by 2021 will be 143 Exabytes per quarter, which is 7 times higher than the regular demand in 2016. The 5G network is the hope for the future network because it has the capacity to satisfy the network demands in terms of speed and bandwidth of this projection. There are several 5G propagation models however they have a relatively small bandwidth which results in inefficient communication especially with mobile/cellular data usage. Another challenge is that measuring the 5G propagation using the current techniques are time consuming, less accurate and insufficient information on simulation parameter configurations. In this work a. model of propagation in future 5G wireless networks using ray-tracing has been proposed. The model was developed to check the propagation quality of the 5G network using 3-D ray tracing technique. The model was implemented using the Matrix Laboratory (MATLAB) software. The results from our performance evaluation showed that our model was able to produce a better 5G propagation quality over a wider bandwidth in lesser time. Our model had an overall performance score of 98.8%, while the existing system had 70.5%. This work could be beneficial network administrators and to the research communities.