CLC number: TN928
On-line Access: 2021-07-12
Received: 2020-09-30
Revision Accepted: 2021-01-21
Crosschecked: 2021-05-01
Cited: 0
Clicked: 4770
Citations: Bibtex RefMan EndNote GB/T7714
https://orcid.org/0000-0001-7131-4232
Zhao Yi, Weixia Zou, Xuebin Sun. Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2000515 @article{title="Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond", %0 Journal Article TY - JOUR
基于先验信息的5G及后5G毫米波大规模多入多出车载通信信道估计1北京邮电大学泛网无线通信教育部重点实验室,中国北京市,100876 2东南大学毫米波国家重点实验室,中国南京市,210096 摘要:毫米波(mmWave)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。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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