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

易钊; 邹卫霞; 孙学斌

doi:10.1631/FITEE.2000515

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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

高通量毫米波无线通信专题 | Updated：2022-06-06

- 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
- Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond
- 信息与电子工程前沿（英文） 2021年22卷第6期页码：777-789
- Affiliations：
  
  MOE Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
- Author bio：
  
  [ "Zhao YI, E-mail: yz17tx@bupt.edu.cn" ]
  Weixia ZOU, E-mail: zwx0218@bupt.edu.cn
- Funds：
  
  Project supported by the National Natural Science Foundation of China (No. 61971063)
- DOI：10.1631/FITEE.2000515
  中图分类号：
- 收稿：2020-09-30，
  
  修回：2021-;3-;1，
  
  纸质出版：2021-06
- Accepted：
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易钊, 邹卫霞, 孙学斌. 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[J]. 信息与电子工程前沿（英文）, 2021,22(6):777-789.

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, 2021, 22(6): 777-789.
易钊, 邹卫霞, 孙学斌. 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[J]. 信息与电子工程前沿（英文）, 2021,22(6):777-789. DOI： 10.1631/FITEE.2000515.

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, 2021, 22(6): 777-789. DOI： 10.1631/FITEE.2000515.

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。

Abstract

Millimeter wave (mmWave) has been claimed as the viable solution for high-bandwidth vehicular communications in 5G and beyond. To realize applications in future vehicular communications

it is important to take a robust mmWave vehicular network into consideration. However

one challenge in such a network is that mmWave should provide an ultra-fast and high-rate data exchange among vehicles or vehicle-to-infrastructure (V2I). Moreover

traditional real-time channel estimation strategies are unavailable because vehicle mobility leads to a fast variation mmWave channel. To overcome these issues

a channel estimation approach for mmWave V2I 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 mmWave time-varying vehicular system.

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