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.
翻译:综合遥感和通信(ISAC)是向车辆网络提供感测和通信(S&C)服务的一个很有希望的模式,然而,车辆反映的回声信号的力量可能太弱,无法在今后精确定位时使用,因为有随机反射/缓冲系数的车辆几乎是小型的雷达交叉路段。为了解决这一问题,我们提议为智能地表搭载车辆制定一个新型互助计划,使S&C具有创新性设计,以便相互协助,实现高效的双赢融合,即遥感辅助的分班设计和通信辅助的高精度感测。具体地说,我们首先在不确定的角度信息下得出回声功率和可实现率的封闭式表达方式。然后,在满足感测要求的同时,通信率达到最大化,这已证明是时间分配方面的一个单调优化问题。此外,我们公开了问题的可行条件,并提出了以多块为基础的最佳算法。模拟结果证实,S&C的性交换约束因利用智能地面辅助电视网络的新型设计而大大扩大。