# Supporting Immersive Video Streaming via V2X Communication
## 3 Simulation Results and Discussion
In contrast, the adoption of 6 DoF video technology is currently in its early stages, resulting in comparatively lower viewership numbers. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Wireless Communication** & **Transmission Distance** & **Maximum Bandwidth** \\
**Technology** & & **Achievable** \\ \hline THz & 400 m & 327 Gbps \\ mmWave & 1.7 km & 20 Gbps \\ Li-Fi & 10 m & 224 Gbps \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Wireless communication technology: Transmission distance and bandwidth. Figure 3: Volume of vehicles throughout a day. Figure 5 depicts the bandwidth requirements across various types of video applications. The graph highlights that 360-degree video demands the highest bandwidth, followed by immersive MIV video. The popularity of 360-degree video, coupled with the need for extensive data transmission to support a panoramic viewing experience, significantly drives up its bandwidth requirements compared to other video formats. In contrast, immersive PtCl and MIV videos, while also bandwidth-intensive, exhibit overall demands similar to that of 2D video due to their lower market penetration. MIV video, which involves synthesizing multiple videos during encoding, consequently incurs slightly higher bandwidth requirements than PtCl video. Moreover, live video applications, which prioritize low-latency requirements, employ encoding techniques that minimize latency but lead to lower compression rates and therefore higher bandwidth demands compared to VoD. Figure 4: Counts of video applications initiated by passengers in vehicles throughout a day. Figure 6 provides a visual representation of the bandwidth allocation situation before the proposed bandwidth allocation approach is applied. As the number of vehicles on the network increases, there is a corresponding rise in the total demand for bandwidth. This surge in demand often leads to network congestion, especially during peak traffic hours. During these congested periods, users experience significant competition for available bandwidth resources. This competition can result in adverse effects such as delays or interruptions for video applications. New passengers may find it difficult to start video sessions altogether, while existing users may encounter buffering issues or frequent pauses while streaming video content. Figure 5: Bandwidth requirements for video applications within a day. Figure 6: The bandwidth allocation for the video applications prior to the algorithm’s implementation. Figure 7 provides a detailed depiction of the bandwidth allocation strategy after the implementation of the proposed algorithm, focusing on various types of video applications. The graph prominently displays a significant increase in the allocated bandwidth specifically designated for live video applications. At the core of this enhancement is the \"Bandwidth Assignment Coordination\" module, which operates within RSUs. This module assumes a critical role in efficiently managing bandwidth reassignment when demand exceeds available resources. Its primary function involves dynamically reallocating bandwidth from non-real-time applications to real-time applications, such as live video streaming, as necessary. This adaptive reallocation ensures that critical applications requiring real-time data transmission, like live video feeds, consistently receive adequate bandwidth even during peak demand periods. In addition to the above-mentioned \"Bandwidth Assignment Coordination\" module, the \"Vehicle Fleet Bandwidth Coordination\" module, leverages advanced 6G technology and Li-Fi V2V communication within vehicular networks. This module improves the total bandwidth utilization of vehicular networks by tapping into CF XL-MIMO wireless access points across different road segments. By redistributing surplus bandwidth from CF XL-MIMO access points at less-congested road segments to vehicles experiencing shortages, it effectively addresses bandwidth deficiencies in congested areas, thereby enhancing overall network performance.