# A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network
## 2 Related Works
Furthermore, the technology requires higher frequencies that are not very reliable, making it challenging to provide reliable high-rate communications. Other challenges include developing control and communication protocols, human-to-machine interfaces, haptic codecs, and the reconstruction of haptic data. The security of V2X networks [27] is essential for the large-scale distribution and verification of vehicular messages. To meet the security needs of different types of data, such as mission-critical messages and multimedia data services, different frame structures, routing strategies, and power/spectrum allocation methods are necessary. Blockchain technology [4; 28] is a potential solution to enhance the security and privacy of V2X communications. It can provide decentralized security management, mobile cloud/edge/fog computing, and content caching. A blockchain-based security solution can verify the authenticity of messages while preserving the sender's privacy. Additionally, blockchain can be used for spectrum sharing, allowing different users to share the same spectrum, providing secure and highly efficient decentralized sharing. However, the adoption of existing blockchain technology is not feasible for V2X communication scenarios due to their dynamic network characteristics and real-time processing requirements. Developing new blockchain algorithms with ultra-low latency and addressing the limited throughput and scalability of current blockchain technology are significant challenges. Quantum computing [29] is seen as a promising technology for 6G wireless communications, but it is still in its early stages of development. If practical solutions become available, quantum computing could enhance security in V2X communications, which is crucial for the prevention of accidents in autonomous vehicles. Traditional encryption strategies may not be adequate, and quantum computing's inherent security feature of quantum entanglement makes it suitable to enhance security in V2X communications. Quantum computing can also offer an enhanced computational capability to optimize 6G-V2X services and execute complex optimization algorithms with reduced complexity. However, there are still many challenges to overcome, such as the development of large-scale quantum computing, the design of quantum security architectures, and the characterization of entanglement distribution. Current quantum computer chips can only operate at extremely low temperatures, making them difficult to use in vehicles, and significant research is needed on the thermal stability of quantum computer chips [30]. Recent advancements in machine learning (ML) research [31], aided by the availability of large datasets, high computational power, and storage capacity, have given rise to novel technologies such as voice assistants and self-driving vehicles. In the context of 6G vehicular networks [32], ML is an increasingly indispensable tool for highly autonomous and intelligent operation. Traditional wireless communication systems rely heavily on model-based approaches, which may not be accurate in certain scenarios, such as channel estimation and interference modeling. ML's ability to extract features and identify hidden relationships between input and output data makes it a powerful tool in such scenarios where traditional communication system designs may fail. ML's data-driven nature can also help to predict channel dynamics, network traffic, user behavior, application requirements, and security threats, leading to better resource provisioning and network operation [33]. In addition to enhancing road safety and driver experiences, advancements in ML techniques are contributing to the realization of autonomous cars. For instance, as seen in [34; 35], data streams from cameras, GPS units, sensors, and LiDAR can be processed to make data-driven intelligent decisions through modular perception-planning-action or end-to-end learning methods.