Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting different quality-of-service (QoS) requirements of coexisting vehicular communication links, particularly under imperfect channel state information (CSI) conditions caused by the highly dynamic environment. In this paper, a novel analytical framework for examining the resilience of C-V2X networks in face of imperfect CSI is proposed. In this framework, the adaptation phase of the C-V2X network is studied, in which an adaptation power scheme is employed and the probability distribution function (PDF) of the imperfect CSI is estimated. Then, the resilience of C-V2X networks is studied through two principal dimensions: remediation capability and adaptation performance, both of which are defined, quantified, and analyzed for the first time. Particularly, an upper bound on the estimation's mean square error (MSE) is explicitly derived to capture the C-V2X's remediation capability, and a novel metric named hazard rate (HR) is exploited to evaluate the C-V2X's adaptation performance. Afterwards, the impact of the adaptation power scheme on the C-V2X's resilience is examined, revealing a tradeoff between the C-V2X's remediation capability and adaptation performance. Simulation results validate the framework's superiority in capturing the interplay between adaptation and remediation, as well as the effectiveness of the two proposed metrics in guiding the design of the adaptation power scheme to enhance the system's resilience.

翻译：蜂窝车联网（C-V2X）网络为提升道路安全与交通效率提供了一种前景广阔的解决方案。此类系统面临的一个关键挑战在于满足共存的车载通信链路的不同服务质量（QoS）要求，尤其是在高度动态环境导致信道状态信息（CSI）不完美的条件下。本文提出了一种新颖的分析框架，用于考察C-V2X网络面对不完美CSI时的韧性。在该框架中，研究了C-V2X网络的适应阶段，其中采用了自适应功率方案并估计了不完美CSI的概率分布函数（PDF）。随后，通过两个主要维度——恢复能力与适应性能——研究了C-V2X网络的韧性，这两者均首次被定义、量化与分析。具体而言，显式推导了估计均方误差（MSE）的上界以刻画C-V2X的恢复能力，并利用一种名为风险率（HR）的新度量来评估C-V2X的适应性能。之后，考察了自适应功率方案对C-V2X韧性的影响，揭示了C-V2X恢复能力与适应性能之间的权衡关系。仿真结果验证了该框架在捕捉适应与恢复之间相互作用方面的优越性，以及所提出的两种度量在指导自适应功率方案设计以增强系统韧性方面的有效性。