JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering 2021 Vol.22 No.6 P.777-789

http://doi.org/10.1631/FITEE.2000515

Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond

Author(s): Zhao Yi, Weixia Zou, Xuebin Sun
Affiliation(s): MOE Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China; more
Corresponding email(s): yz17tx@bupt.edu.cn, zwx0218@bupt.edu.cn
Key Words: Massive multiple-input multiple-output, Millimeter wave, Channel estimation, Vehicular communication, Time-varying

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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.

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¹，邹卫霞^1,2，孙学斌¹
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：大规模多入多出；毫米波；信道估计；车辆通信；时变

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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

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