The current integrated sensing, communication, and computing (ISCC) systems face significant challenges in both efficiency and resource utilization. To tackle these issues, we propose a novel fluid antenna (FA)-enabled ISCC system, specifically designed for vehicular networks. We develop detailed models for the communication and sensing processes to support this architecture. An integrated latency optimization problem is formulated to jointly optimize computing resources, receive combining matrices, and antenna positions. To tackle this complex problem, we decompose it into three sub-problems and analyze each separately. A mixed optimization algorithm is then designed to address the overall problem comprehensively. Numerical results demonstrate the rapid convergence of the proposed algorithm. Compared with baseline schemes, the FA-enabled vehicle ISCC system significantly improves resource utilization and reduces latency for communication, sensing, and computation.

翻译：当前集成感知、通信与计算系统在效率与资源利用率方面面临显著挑战。为解决这些问题，本文提出一种新型的基于流体天线的集成感知、通信与计算系统，专为车联网设计。我们为此架构建立了通信与感知过程的详细模型。构建了一个集成时延优化问题，以联合优化计算资源、接收合并矩阵与天线位置。为应对这一复杂问题，我们将其分解为三个子问题并分别进行分析。随后设计了一种混合优化算法以全面求解整体问题。数值结果表明所提算法具有快速收敛性。与基线方案相比，基于流体天线的车联网集成感知、通信与计算系统显著提升了资源利用率，并降低了通信、感知与计算时延。