### Related Works  
In recent studies, researchers have focused on optimizing network utilization by implementing base station power regulation in V2X communications. Ref. [33] introduced an algorithm to optimize resource allocation and maximize the potential for vehicle association with the base station (BS). The proposed approach employed adaptive adjustment of BS power to address the maximization problem, encompassing the Doppler effect and power selection considerations.  
In [34], the authors examined the mathematical problem through power control techniques while considering the limitation of a restricted number of accessible resource blocks (RBs). The researchers' primary objective was to utilize a Lagrangian approach to address the problem through power allocation and resource block assignment. The authors [35] devised a methodology for addressing a Stackelberg game scenario by implementing power control techniques. The Stackelberg game was utilized in this study to examine the interaction between the BS and the user equipment (UE). The Stackelberg model was also investigated to obtain an ideal solution. The authors of [36] presented an ergodic search algorithm that is near-optimal in addressing the issue of power efficiency. This method aims to manage and regulate power consumption at the BS effectively. However, in the methods mentioned earlier, satisfying the minimal SINR requirements would only provide best-effort services to VUEs. As a result, these methods did not adopt the probability form required to ensure the need for ultra-reliable transmission. The outage probability of the SINR criteria for guaranteeing the VUE QoS (quality of service) must be lower than the default likelihood.  
In [37], an algebraic constraint was developed to simplify the reliability requirements for VUEs represented as the tolerable VUEs chance constraints, and an analytical mapping approach was developed to determine the optimum transmit power for V2X networks. To handle the spectrum sharing problem in RIS-aided vehicular networks where the outage probability of V2V links is used to assure the dependability of V2V communication, the authors in [38] devised the block coordinate descent approach. V2V's minimal dependability criterion was ensured using chance constraints in [39], which also offered a suite of graph-based resource management algorithms to handle the resource-allocation problem. In [40], they addressed the issue of joint spectrum and power-allocation problems for V2X communication in the presence of imperfect channel state information (CSI). Bernstein approximations are utilized to convert the chance constraint into a computable constraint. A bisection search method is proposed to obtain the optimal allocation solution with reduced complexity efficiently.  
There are currently different spectrum resource matching techniques between VUEs and CUEs in applying D2D technology to V2X communication. Authors in [41] proposed a new power-allocation method for energy efficiency optimization in D2D-based cellular V2X communication networks. In [42], they studied subcarrier allocation and power control problems to maximize the total data rate of V2I communication users under the reliability constraints of V2V communication users. In [43] the joint power control and resource-allocation problem of V2X communication when CSI is incomplete. The authors proposed a distributed robust power control algorithm while ensuring the reliability of cellular links [44].