# A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network
## 2 Related Works
The experimental results demonstrate that the proposed system outperforms existing IDS systems in terms of detection accuracy and the false alarm rate. The 5G-NR, vehicle-to-everything (V2X) [20] is a technology that provides improved performance and advanced services by investing in more spectral and hardware resources. With the growth of autonomous vehicles due to urbanization, improved living standards, and technological advancements, there is an increased demand for communication devices and digital applications to enable intelligent autonomous vehicles. The emergence of many new services, such as 3D displays, holographic control display systems, and improved incar infotainment, will bring communication challenges to the V2X network. This will push the capacity limits of existing wireless networks, posing new scientific and technical challenges for vehicular networks. Legacy V2X communication systems [21] can only provide limited intelligence; therefore, there is a need for a significant shift away from traditional communication networks to more versatile and diversified network approaches. The proposed 6G wireless communication network will combine terrestrial and non-terrestrial communication networks to enable intelligent and ubiquitous V2X systems with enhanced reliability, security, and high data rates. New techniques are needed to enable adaptive learning and intelligent decision-making in future V2X networks; 6G is expected to work with machine learning to bring enhanced context awareness, self-aggregation, adaptive coordination, and self-configuration, among other features. The concept of intelligent reflective surfaces (IRSs) [22] refers to a disruptive communication technique that has recently gained attention. IRSs are programmable meta-surfaces consisting of numerous passive antenna elements that can control the phase, amplitude, frequency, and polarization of wireless signals, improving the propagation conditions and enabling higher rates, wider coverage, and uninterrupted connectivity. In this paper, a multi-IRS and multi- unmanned aerial vehicle (UAV)-assisted MEC system for 5G/6G networks are discussed where several UAVs support numerous IRSs to serve a high number of User Equipment's (UEs) [23]. In scenarios where V2X communications operate at the millimeter-wave or THz bands or under unfavorable propagation conditions, the use of IRSs can enhance the vehicular channel conditions and expand the transmission coverage. IRSs can also be used to mitigate the negative effects of the Doppler effect [24] and multi-path fading, making them an appealing research direction for 6G-V2X. A use case scenario for IRSs is their installation on buildings around out-of-coverage traffic intersections, enhancing the communication coverage for transmitting vehicles in the perpendicular streets by fine-tuning the reflecting elements of IRSs. To efficiently integrate them with 6G-V2X, some fundamental challenges, such as reflection optimization, the optimal placement of IRSs, channel estimation in a highly dynamic vehicular environment, and adaptation to different spectral ranges, must be overcome. Tactile communication [25] is a new technology that allows the real-time transmission of touch, motion, vibration, and other sensory information. This technology is expected to revolutionize communications in 6G-V2X by providing an immersive experience for onboard vehicle users. Tactile communication will also enhance specific vehicular applications such as remote driving, vehicle platooning, and driver training. The use of haptic-based warning signals can also help to improve driving safety. Tactile-based V2X can also benefit vulnerable road users by providing appropriate haptic signals that en hance their safety and activity. However, as noted in [26], there are several challenges in implementing this technology. Tactile communication requires high-speed, low-latency communication that can exchange large volumes of haptic information, which is difficult to achieve in high-mobility vehicular environments.