智能表面赋能的感知与通信：一种新颖的互助设计
Intelligent Surface Empowered Sensing and Communication: A Novel Mutual Assistance Design
AI总结：
针对车载网络中车辆回波信号微弱影响精确定位的问题，提出配备智能表面车辆的互助方案，通过感知辅助相移设计与通信辅助高精度感知实现共赢，并推导闭式表达式、提出基于多块的最优算法，显著扩大了感知与通信的性能折中边界。
摘要：
集成感知与通信（ISAC）是在车载网络中同时提供感知与通信（S&C）服务的一种有前景的范式。然而，由于实际中具有随机反射/散射系数的车辆雷达截面积较小，从车辆反射的回波信号功率可能太弱，无法用于未来的精确定位。为解决此问题，我们为配备智能表面的车辆提出了一种新颖的互助方案，其中S&C被创新性地设计为相互协助以实现高效的共赢集成，即感知辅助的相移设计和通信辅助的高精度感知。具体而言，我们首先推导了在不确定角度信息下的回波功率和可达速率的闭式表达式。然后，在满足感知需求的前提下最大化通信速率，这被证明是一个关于时间分配的单调优化问题。此外，我们揭示了该问题的可行条件，并提出了一种基于多块（polyblock）的最优算法。仿真结果验证了，通过利用智能表面辅助车载网络中的互助设计，S&C的性能折中边界得到了显著扩大。
英文摘要：
Integrated sensing and communication (ISAC) is a promising paradigm to provide both sensing and communication (S&C) services in vehicular networks. However, the power of echo signals reflected from vehicles may be too weak to be used for future precise positioning, due to the practically small radar cross section of vehicles with random reflection/scattering coefficient. To tackle this issue, we propose a novel mutual assistance scheme for intelligent surface-mounted vehicles, where S&C are innovatively designed to assist each other for achieving an efficient win-win integration, i.e., sensing-assisted phase shift design and communication-assisted high-precision sensing. Specifically, we first derive closed-form expressions of the echo power and achievable rate under uncertain angle information. Then, the communication rate is maximized while satisfying sensing requirements, which is proved to be a monotonic optimization problem on time allocation. Furthermore, we unveil the feasible condition of the problem and propose a polyblock-based optimal algorithm. Simulation results validate that the performance trade-off bound of S&C is significantly enlarged by the novel design exploiting mutual assistance in intelligent surface-aided vehicular networks.
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