# Evaluating the Feasibility of Intelligent Blind Road Junction V2I Deployments
## 6 Conclusions  
In this work, we present a study conducted to assess the network architectures of an IPS, a small-scale V2I use case for blind road junction or blind corner scenarios. This small-scale system is intended to be used to focus on considerations for developing sufficient QoS for V2X communications applications and use cases at a larger scale. This study was conducted by collecting network measurements between a pseudo-FSN (Fixed Sensor Node) and a pseudo-CIV (Connected Intelligent Vehicle) using a private 5G NR network with two connectivity setups, Sub-6 GHz and mmWave. Several measurement runs were conducted to evaluate the feasibility and trade-offs between two identified configurations of the IPS network architecture. Results demonstrate that the IPS system is feasible, though there is nuance in how it could be implemented that affects feasibility. Regarding the nuance, the primary determinant of how the system should be implemented is the cost of deployment and maintenance of the system. In the ideal case, i.e., Configuration 1, if deploying the necessary computation resources alongside the FSN(s) at the region of interest is feasible from a cost perspective, then the IPS system will yield the highest performance, i.e., up to \(\sim\)2400 FSNs reporting at 20 Hz. However, if it is not possible to deploy the necessary computation resources with the FSN(s) and instead the burden of sensor processing is imposed on the CIV(s), i.e., Configuration 2, then the IPS may still be feasible albeit with some trade-offs. In this case, the secondary determinant of how the system should be implemented is the required image quality for the object detection algorithms. Results show that if lower resolution or compressed sensor data can be tolerated then the IPS remains feasible, though with reduced performance, i.e., \(\sim\)15 CCTV Cameras (8 Mbps) FSNs or \(\sim\)2 Action Cameras (50 Mbps), relative to the instance where the computational resources are local to the FSN(s). However, if higher resolution or uncompressed sensor data are required, then as a result of the \(\sim\)120 Mbps limit of the Sub-6 GHz channel, the IPS is likely not feasible to implement without the deployment of mmWave connectivity to increase throughput capacity (\(\sim\)800 Mbps). However, it should be noted, that even with mmWave connectivity, very few high-resolution sensors can be supported, i.e., \(\sim\)5 Consumer Camera (150 Mbps) FSNs or \(\sim\)1 Automotive Camera (800 Mbps) FSNs. Aside from the discussed implementation nuance, IPS presents a meaningful application to allow progress toward large-scale V2X applications. Consequently, these findings and insights emphasise some key considerations that need to be investigated thoroughly to realise a system like the IPS, regardless of the chosen configuration. Primarily, results highlight a strong incentive to reduce the costs associated with the deployment and maintenance of the computational resources needed for sensor processing. Moreover, the limitations found when transferring sensor data highlight the importance of compression techniques to make use of the available bandwidth. Finally, there is significant motivation to understand the trade-offs associated with using mmWave spectrum bands, as they may have a key role in enabling V2X communications applications like the IPS to be deployed in many ITS use cases and scenarios. Conceptualization, J.C., M.G. and B.D. ; methodology, J.C., D.M. and B.D. ; software, J.C., D.M. and S.H. ; validation, J.C.; formal analysis, J.C.; investigation, J.C., D.M., S.H. and J.L. ; resources, J.C.; data curation, J.C., D.M., S.H. and J.L. ; writing--original draft preparation, J.C.; writing--review and editing, J.C., D.M., S.H., J.L., P.D., E.W., M.G., E.J. and B.D. ; visualization, J.C.; supervision, M.G., E.J., B.D. and E.W. ; project administration, M.G. and E.J. ; funding acquisition, M.G. and E.J. All authors have read and agreed to the published version of the manuscript.