# Supporting Immersive Video Streaming via V2X Communication
## 1 Introduction  
Recent literature indicates that numerous studies have proposed improvements in compression efficiency and bitrate reduction for multimedia applications and explored the potential of emerging network technologies for mobile networks. As autonomous driving technology matures, future vehicles will not only possess autonomous driving capabilities but also offer more diverse onboard entertainment systems. Passengers will be able to participate in immersive remote meetings and experiments, as well as enjoy immersive games and high-quality streaming media services. These emerging multimedia applications will demand substantial bandwidth and extremely high throughput within vehicular networks. To address the streaming requirements in vehicular networks, [PERSON] et al. [1] examined caching strategies for the dynamic characteristics of vehicular networks and proposed an adaptive dynamic resource management scheme for hierarchical cooperative caching networks. [PERSON] et al. [2] utilized a 3D vector mobility prediction algorithm in their protocol to predict vehicle mobility, enabling flexible responses to dynamic topology changes and achieving high frame transmission rates. [PERSON] et al. [3] introduced an inter-layer approachfor multimedia streaming in vehicular networks, dynamically adjusting transmission rates to enhance video playback stability and packet transmission rates in vehicles. However, these studies have not fully considered the advantages of future 6G network technologies in vehicle communications and the impact of bandwidth demand differences for various multimedia applications. Recently, the popularity of smart devices and communication technologies has driven rapid growth in immersive games and high-quality streaming media services. These emerging multimedia applications demand substantial bandwidth and extremely high network throughput [4; 5]. The quality of the video experience (QoE) has a significant impact on the likelihood of a user making a repeat purchase. Conversely, poor video QoE can result in a loss of users. Consequently, it is of paramount importance for wireless network operators to ensure that the user-perceived QoE is as high as possible. To meet these future potential demands, the Moving Picture Experts Group (MPEG) has established various video coding standards. Among these, Advanced Video Coding (AVC) stands out for its low encoding complexity and broad compatibility, making it the most widely used video codec standard currently [6]. As the next-generation video coding standard, Versatile Video Coding (VVC) offers higher compression efficiency compared to AVC, reducing data size by 75% while maintaining the same level of visual quality [7]. MPEG has also introduced Low Complexity Enhancement Video Coding (LCEVC), which enhances basic codecs with an additional low bitrate layer to improve video compression and transmission efficiency. LCEVC reduces the resolution of the input original video by half to form a low-quality video base layer, then encodes the differences between the low-quality video and the original video to generate an enhancement layer. Upon decoding at the client end, the LCEVC decoder combines the base layer and enhancement layer to produce video with the same resolution as the original, achieving bitrate reduction [8]. A key component of immersive applications is 360-degree video, which demands higher network bandwidth. Therefore, many researchers have studied tile-based strategies for segmenting 360-degree video into multiple tiles through the Field of View (FoV), encoding the tiles within the FoV at high quality, and encoding or discarding the remaining tiles at low quality to reduce bitrate during encoding [9]. 6 DoF video, also known as volumetric video, allows for translation in horizontal, vertical, and depth directions in addition to the orientation provided by 3 DoF, offering a more immersive experience for users. There are two formats for implementing 6 DoF video: Multiview Video plus Depth (MVD) [10] and Point Cloud (PtCl) [11].