With the adoption of 5G technologies and the increased reliance of intelligent transportation on communication, there is an increased need to ensure reliability of communication. The MARSS-5G research project focuses on the densification of nodes in next generation wireless communications. As networks become more dense, interference between transmissions becomes an important consideration. The MARSS-5G project considered as a case study vehicular communication and utilizes analytical tools to characterize the communication performance in a variety of operating conditions. An understanding of this performance is important to guide network design, which in turn has impact for traffic safety and efficiency. This project aims to develop several insightful analytical tools in order to: model, design, and analyze complex 5G networks. Tools from Stochastic Geometry and Planar Distributions for wireless networks have been utilized to enable the analytical derivation of these insightful performance metrics so as to assess the quality of service and assist in the design of complex networks. Such sophisticated metrics will be geared for applications in mobile and vehicular communications, thus eliminating the need for intractable, costly and time-consuming simulations. Through a novel approach to characterize communication reliability, the main conclusion of the work was the standard vehicular communication technologies such as IEEE 802.11p will be insufficient to meet the demands of future vehicular communication applications. This is because of the limited bandwidth and lack of interference coordination, which lead to low throughput and large packet loss in dense urban scenarios.
