【摘要】 毫米波(mm Wave)被认为是5G及后5G高带宽车载通信的可行解决方案。为实现在未来车辆通信中的应用,鲁棒的毫米波车载网络非常重要。然而,一个挑战是,毫米波应在车辆或车辆到基础设施(V2I)之间提供高速和超高速数据交换。此外,由于车辆的高速移动引起毫米波信道快速变化,传统的实时信道估计方案难以实现。针对这些问题,提出一种毫米波V2I车辆通信信道估计方法。首先考虑快速运动的车辆场景,建立相应的快速时变信道数学模型。然后,利用基站与每个移动用户之间的时间变化规律和确定的到达方向,预测时变信道先验信息(PI)。最后,利用PI和信道特性对时变信道进行估计。仿真结果表明,在毫米波时变车载通信系统中,该方案在归一化均方误差和和率性能上均优于传统方案。更多还原

【Abstract】 Millimeter wave(mm Wave) has been claimed as the viable solution for high-bandwidth vehicular communications in 5 G and beyond. To realize applications in future vehicular communications, it is important to take a robust mm Wave vehicular network into consideration. However, one challenge in such a network is that mm Wave should provide an ultra-fast and high-rate data exchange among vehicles or vehicle-to-infrastructure(V2 I). Moreover,traditional real-time channel estimation strategies are unavailable because vehicle mobility leads to a fast variation mm Wave channel. To overcome these issues, a channel estimation approach for mm Wave V2 I communications is proposed in this paper. Specifically, by considering a fast-moving vehicle secnario, a corresponding mathematical model for a fast time-varying channel is first established. Then, the temporal variation rule between the base station and each mobile user and the determined direction-of-arrival are used to predict the time-varying channel prior information(PI). Finally, by exploiting the PI and the characteristics of the channel, the time-varying channel is estimated. The simulation results show that the scheme in this paper outperforms traditional ones in both normalized mean square error and sum-rate performance in the mm Wave time-varying vehicular system.更多还原