标题： 在非完美信道状态信息下的鲁棒车辆通信 显示英文标题

标题： Resilient Vehicular Communications under Imperfect Channel State Information

摘要： 蜂窝车到一切（C-V2X）网络提供了一种有前景的解决方案，以提高道路安全和交通效率。此类系统中的一个关键挑战在于，在有限的网络资源下满足车载通信链路的服务质量（QoS）要求，尤其是在由高度动态环境引起的不完美信道状态信息（CSI）条件下。本文提出了一种新颖的两阶段框架，用于在未知不完美CSI的情况下向C-V2X网络注入韧性。首次通过两个主要维度：吸收阶段和适应阶段，定义、量化并优化了C-V2X网络的韧性。具体而言，在吸收阶段通过专用吸收功率方案和资源块（RB）分配来估计不完美CSI的概率分布函数（PDF）。所估计的PDF进一步用于分析这两个阶段之间的相互作用，并揭示它们之间的权衡关系。然后，利用一种新的度量标准称为风险率（HR），以平衡C-V2X网络对吸收和适应的关注。最后，在适应阶段利用所估计的PDF通过实时功率分配优化来恢复网络的QoS。仿真结果显示，所提出的框架在不完美CSI条件下维持C-V2X网络QoS的优越能力。具体来说，在适应阶段，所提设计分别减少了超过QoS要求的车对车（V2V）时延35\%，车对基础设施（V2I）吞吐量14\%的基准值，而不会影响吸收阶段网络的QoS。 显示英文摘要

摘要： 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 quality-of-service (QoS) requirements of vehicular communication links given limited network resources, particularly under imperfect channel state information (CSI) conditions caused by the highly dynamic environment. In this paper, a novel two-phase framework is proposed to instill resilience into C-V2X networks under unknown imperfect CSI. The resilience of the C-V2X network is defined, quantified, and optimized the first time through two principal dimensions: absorption phase and adaptation phase. Specifically, the probability distribution function (PDF) of the imperfect CSI is estimated during the absorption phase through dedicated absorption power scheme and resource block (RB) assignment. The estimated PDF is further used to analyze the interplay and reveal the tradeoff between these two phases. Then, a novel metric named hazard rate (HR) is exploited to balance the C-V2X network's prioritization on absorption and adaptation. Finally, the estimated PDF is exploited in the adaptation phase to recover the network's QoS through a real-time power allocation optimization. Simulation results demonstrate the superior capability of the proposed framework in sustaining the QoS of the C-V2X network under imperfect CSI. Specifically, in the adaptation phase, the proposed design reduces the vehicle-tovehicle (V2V) delay that exceeds QoS requirement by 35% and 56%, and improves the average vehicle-to-infrastructure (V2I) throughput by 14% and 16% compared to the model-based and data-driven benchmarks, respectively, without compromising the network's QoS in the absorption phase.