## 4 Conclusions  
While the existing literature has laid the foundation for bandwidth allocation algorithms within vehicular networks, there is still an opportunity to explore the untapped potential presented by the emerging next-generation wireless communication technologies within the dynamic context of Autonomous Vehicle Networks. This study is driven by the mission to bridge this gap by seamlessly integrating cutting-edge terahertz and NLOS-FSOC wireless communication technologies with the more conventional sub-6 GHz band base stations. The overarching goal is to ingeniously distribute the necessary bandwidth for streaming applications, catering with precision to the passengers of autonomous vehicles. While the existing literature has paved the way for bandwidth allocation algorithms in vehicular networks, a noticeable void persists in harnessing the untapped potential of emerging 6G wireless communication technologies within the intricate landscape of the Internet of Autonomous Vehicles. This study is dedicated to closing this gap by seamlessly integrating state-of-the-art terahertz and NLOS-FSOC wireless communication technologies with the established sub-6 GHz band base stations. The overarching objective is to strategically allocate the necessary bandwidth for streaming applications, tailored to meet the discerning needs of passengers within autonomous vehicles. To materialize this objective, the study adeptly deploys terahertz and NLOS-FSOC technologies, orchestrating a harmonious coexistence of micro and macro base stations alongside the well-established sub-6 GHz band base stations. An outstanding addition is the strategic incorporation of BILSTM, which serves as the linchpin for the timely and precise allocation of bandwidth. This allocation is intricately aligned with the distinct quality requirements of individual passengers as they embark on their autonomous journeys. Elevating the innovative landscape, the study introduces VLC technology, a pivotal enhancer of both security and data rates in V2V communications. This augmentation significantly raises the bar for the quality of V2V streaming transmissions, consequently elevating the holistic streaming experience. The effectiveness of these proposed mechanisms is demonstrated through a comprehensive analysis of the simulation results. The simulation results reveal that the proposed work significantly enhances the available bandwidth for autonomous vehicle passengers during periods when base stations on congested road segments have reached their maximum bandwidth capacity. The results indicate an average bandwidth improvement of 55%, which is accessible to all passengers in autonomous vehicles. As a result, a wide range of streaming applications--encompassing videotelephony, live streaming, on-demand content, and immersive 360-degree experiences--can seamlessly access timely and essential bandwidth support. This holds true even when base station resources face strain during heightened travel demands. In conclusion, the innovative algorithm presented in this study goes beyond mitigating potential bandwidth conflicts among passengers within autonomous vehicles for base station resources. It ensures uninterrupted access to streaming applications, especially during peak demand periods. This comprehensive approach systematically maximizes overall service satisfaction by skillfully addressing the diverse quality needs of the majority of passengers. In doing so, it firmly positions itself at the forefront of bandwidth management within the evolving realm of the Internet of autonomous vehicles. Limited by the dataset availability for autonomous vehicles, we have used currently available traffic data of vehicles in our simulations. However, in the future, when real-world datasets of autonomous vehicles become accessible, we intend to employ up-to-date autonomous vehicle datasets for our simulations in future research. Additionally, we plan to broaden the scope of our research to encompass both human-driven and autonomous vehicles within vehicular networks.