# A 5G V2X Ecosystem Providing Internet of Vehicles +
## 6 Results and Discussion
The 5G V2X ecosystem has presented better result with any density of vehicles. Comparing with the best results obtained by the implementation of the adaptive bandwidth allocation [1; 16] and the baseline of the traditional architecture [16], it was verified that the obtained throughput in this achieved solution has gotten a better flow than the previously presented solutions,  
Figure 7: Network throughput. which guarantees a satisfactory QoS for streaming services in the V2X scenario. One of the factors that contributed to increase in flow is the incorporation of V2X-Server into the 5G V2X ecosystem. Figure 8 graphic shows the average delay that reflects the spent time for users' data transmission end-to-end in a fog cell for video transmission. The results compare the adoption of the FESTIVE, PANDA and TOBASCO2 algorithms [60] with the SDN controller in rural macro scenario in Figure 8a. Next, the execution of the PANDA algorithm by simulated scenario is depicted in Figure 8b. The 3 GPP TS 23.203 specification provides latency budgets [66]. To the video traffic requirements defined by TS 23.203, the maximum delay value is 300 ms. In [1], it claims a delay of 0.06 ms, however it is the average transmission delay, adopting the hop of vehicle communications. However, in this work, it was adopted end-to-end average delay in the 5G V2X fog cell for stream video transmission. In Figure 8a, from 30 vehicles, the values obtained by the FESTIVE and PANDA algorithms present a similar behavior, unlike the PANDA algorithm that presents a differentiation from the density with 20 vehicles. The obtained results have met the expected value, and the minimum average transmission delay of 18 ms was observed for the maximum distance of 320 m in the end-to-end fog cell 5G V2X with the PANDA algorithm, which demonstrated a better performance and stability when adopted in the proposed 5G ecosystem. Figure 9 graphic shows the V2V packet delivery results. It is possible to observe, that the delivery rate depends on vehicle density. Figure 8: Average delay in a fog cell 5G V2X. Figure 9: Packet Delivery Ratio in 5G V2V communications. In the literature, traditional VANETs present the PDR of between 60-80%. By simulations, when adopting 5G millimeter waves to transmit the messages, considering the confidence interval of 95%, a constant behavior is observed, between 84% and 91% of vehicles that received the package, in all vehicle densities. Generally, the delivery rate tends to be low in scenarios with low vehicle density. However, it is noted that the obtained result is due to the adoption of 5G in a cell of mist, evidencing the approach efficiency to provide IoV. With this paper 5G V2X ecosystem proposal, the evaluation of many expected scenarios with SDIoV applications becomes possible. With an SDIoV architecture, services can be improved allowing adequate support for IoV communications, such as the tests performed with on board entertainment services. In addition, this ecosystem proposal contributes to an urgent demand for the construction of scenarios and initial 5G use cases in order to prove that the IMT-2020 standard is feasible for deployment in the short and medium term, thus justifying the investments in CAPEX and OPEX. Possible policies can be thought and projected, as well as new services for SDIoV, with the proposed ecosystem.