AI 中文总结
本研究针对传统相控阵实现ISAC车载网络能耗高的问题，提出首个基于RIS的ISAC车载原型，其工作于sub-6 GHz，功耗6.8W，可将车辆定位误差降至0.11m、EVM降低41.9%，验证了系统有效性。
AI 中文摘要
将集成感知与通信（ISAC）融入车路协同（V2I）网络后，路边单元（RSU）可在支持数据传输的同时提供额外感知能力，从而支撑智能交通服务。通过在RSU部署大规模天线阵列，V2I网络可借助增大天线孔径带来的显著波束成形增益，实现更可靠的连接与更精准的车辆跟踪。然而，采用依赖大量高能耗移相器的传统相控阵来实现这类阵列并不节能。针对这一问题，本演示系统展示了首个基于可重构智能表面（RIS）的ISAC赋能车载网络原型，该原型工作于6 GHz以下频段，以兼容现有车载系统。RIS的功耗仅为6.8W。实验结果表明，与无RIS的系统相比，所提基于RIS的原型实现了更精准的车辆轨迹跟踪，平均定位误差为0.11米，同时支持更稳健的数据传输，误差向量幅度（EVM）降低了41.9%。这些结果验证了基于RIS的ISAC系统支撑车载网络的有效性。
英文摘要
By incorporating integrated sensing and communication (ISAC) into vehicle-to-infrastructure (V2I) networks, roadside units (RSUs) can support data transmission while providing additional sensing capabilities, thereby enabling intelligent transportation services. By deploying large-scale antenna arrays at RSU, the V2I network can realize more reliable connectivity and more accurate vehicle tracking by harnessing the significant beamforming gains provided by the enlarged antenna aperture. However, it is not energy efficient to realize such arrays using conventional phased arrays, which rely on numerous power-hungry phase shifters. To address this, this demo presents the first reconfigurable intelligent surface (RIS)-based ISAC-empowered vehicular network prototype, which operates at sub-6 GHz band to be compatible with existing vehicular systems. The RIS has a low power consumption of 6.8W. Experimental results show that compared with the system without RIS, the proposed RIS-based prototype enables more accurate vehicle trajectory tracking with an average localization error of 0.11m and supports more robust data transmission, as evidenced by a 41.9% reduction in error vector magnitude (EVM). These results validate the effectiveness of the RIS-based ISAC system for supporting vehicular networks.
