# Supporting Immersive Video Streaming via V2X Communication
## 4 Conclusions  
Many studies have traditionally focused on resource allocation in vehicular networks, primarily centered on current technologies and often overlooking the imminent advance  
Figure 8: The available bandwidth both prior to and following the algorithm’s implementation and user bandwidth demand. ments expected with 6G technology and emerging multimedia applications slated for integration into in-vehicle entertainment systems. This research addresses the critical area of bandwidth allocation for next-generation vehicular multimedia applications. By integrating cutting-edge wireless communication technologies such as mmWave, THz, and CF XL-MIMO, we aim to deliver efficient and stable bandwidth, ensuring uninterrupted service while vehicles are in motion. Additionally, we leverage Li-Fi technology for V2V communication, enabling flexible utilization of excess bandwidth from CF XL-MIMO access points located in less congested road segments. In addition to these advancements, we leverage Li-Fi technology for V2V communication, allowing for the flexible utilization of idle bandwidth from adjacent road sections. This strategic use of Li-Fi enhances bandwidth availability dynamically, adapting to the varying demands across different road segments. In order to meet the diverse demands of different video applications, we utilize a variety of encoding techniques and implement dynamic adjustments to video quality based on real-time network conditions. This strategy is designed to enhance transmission efficiency, ensuring that each video type receives adequate bandwidth and maintains a high-quality viewing experience tailored to the current network conditions. The effectiveness of our approach is substantiated by simulation results. By implementing advanced mechanisms such as VoD pre-download strategies and techniques for bandwidth reassignment and relay, we ensure seamless video playback even during peak traffic hours. Furthermore, our fleet bandwidth transfer mechanism is essential for reallocating unused bandwidth from road sections with less congestion to those with higher traffic, leading to a significant boost of 32% in bandwidth availability during peak periods. This enhancement effectively meets user demand and significantly enhances overall viewing experiences, mitigating issues such as buffering or delays caused by insufficient bandwidth. Although we have integrated several innovative strategies aimed at alleviating bandwidth constraints in congested road segments, thereby greatly enhancing passenger video experiences during peak traffic conditions, there are still several limitations and potential issues for further investigation. Firstly, compared to lower frequency bands, mmWave and THz suffer from higher path losses, limiting transmission distances. Therefore, the introduction of XL-MIMO antennas aims to mitigate these propagation challenges [58]. However, due to the high deployment costs of large-scale antennas, telecommunications providers tend to deploy XL-MIMO antennas in high-traffic hotspot areas to save on operational costs [59]. Additionally, the mobility of vehicles can lead to dynamic network topologies and frequent resource reallocations, making it essential to maximize resource utilization and energy efficiency. Thus, efficient energy management is crucial for ensuring the sustainability of 6G networks. To this end, artificial intelligence (AI) can be employed to achieve adaptive resource management by leveraging historical data and real-time sensor information to predict future traffic loads, preemptively allocate resources to avoid potential network congestion, and optimize the overall user experience [60]. As the pursuit of more efficient and reliable communication technologies continues in V2X communication, issues of security and privacy protection have become increasingly prominent.