Intelligent reflecting surface (IRS) has recently received much attention from the research community due to its potential to achieve high spectral and power efficiency cost-effectively. In addition to traditional cellular networks, the use of IRS in vehicular networks is also considered. Prior works on IRS-aided vehicle-to-everything communications focus on deploying reflection surfaces on the facades of buildings along the road for sidelink performance enhancement. This paper goes beyond the state of the art by presenting a novel paradigm coined Intelligent Reflecting Vehicle Surface (IRVS). It embeds a massive number of reflection elements on vehicles' surfaces to aid moving vehicular networks in military and emergency communications. We propose an alternative optimization method to optimize jointly active beamforming at the base station and passive reflection across multiple randomly-distributed vehicle surfaces. Performance evaluation in terms of sum spectral efficiency under continuous, discrete, and random phase shifts is conducted. Numerical results reveal that IRVS can substantially improve the capacity of a moving vehicular network.
翻译:智能反射表面 (IRS) 最近因其实现高频谱和功率效率的成本效益而引起研究界的广泛关注。除了传统的蜂窝网络外,IRS 在车联网中的使用也备受关注。以往研究提出了在道路沿线建筑物立面上部署反射表面以提高侧链性能的方案。本文通过提出一个名为“Intelligent Reflecting Vehicle Surface (IRVS)”的新兴范式,进一步超越了现有研究。该范式在车载通信中通过在车辆表面嵌入大量反射元件,用于协助军事和应急通信等移动车联网。 我们提出了一种替代优化方法,同时优化基站的有源波束成形和多个随机分布车载表面的被动反射。文中进行了连续、离散和随机相位移位下的多个性能评估,并在均衡下对其进行了对比。数值结果表明,IRVS 对移动车联网的容量可以大幅提高。