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

Zhao YI; Weixia ZOU; Xuebin SUN

doi:10.1631/FITEE.2000515

Your Location：

Home >

Browse articles >

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

Special Feature on High-Throughput Millimeter-Wave Wireless Communications | Updated：2022-06-06

- Prior information based channel estimation for millimeter-wave massive MIMO vehicular communications in 5G and beyond
  Enhanced Publication
- 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
- Frontiers of Information Technology & Electronic Engineering Vol. 22, Issue 6, Pages: 777-789(2021)
- 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：
- DOI：10.1631/FITEE.2000515
  CLC：
- Published：2021-06，
  
  Received：30 September 2020，
  
  Revised：01 March 2021，
- Accepted：
Scan QR Code
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：

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.

关键词

大规模多入多出毫米波信道估计车辆通信时变

Keywords

Massive multiple-input multiple-outputMillimeter waveChannel estimationVehicular communicationTime-varying

references

MM Awad, , , KG Seddik, , , A Elezabi. . Channel estimation and tracking algorithms for harsh vehicle to vehicle environments. . Proc IEEE 82$.{\rm{nd}}$ Vehicular Technol Conf, , 2015. . p. 1--5. . DOI:10.1109/VTCFall.2015.7390864http://doi.org/10.1109/VTCFall.2015.7390864..

A Bourdoux, , , H Cappelle, , , A Dejonghe. . Channel tracking for fast time-variant channels in IEEE802. . 11p systems. Proc IEEE Global Telecommunications Conf, , 2011. . p. 1--6. . DOI:10.1109/GLOCOM.2011.6134024http://doi.org/10.1109/GLOCOM.2011.6134024..

J Brady, , , N Behdad, , , AM Sayeed. . Beamspace MIMO for millimeter-wave communications: system architecture, modeling, analysis, and measurements. . IEEE Trans Antenn Propag, , 2013. . 61((7):):3814--3827. . DOI:10.1109/TAP.2013.2254442http://doi.org/10.1109/TAP.2013.2254442..

A Brighente, , , M Cerutti, , , M Nicoli, , , 等. . Estimation of wideband dynamic mmWave and THz channels for 5G systems and beyond. . IEEE J Sel Areas Commun, , 2020. . 38((9):):2026--2040. . DOI:10.1109/JSAC.2020.3000889http://doi.org/10.1109/JSAC.2020.3000889..

J Choi, , , V Va, , , N Gonzalez-Prelcic, , , 等. . Millimeter-wave vehicular communication to support massive automotive sensing. . IEEE Commun Mag, , 2016. . 54((12):):160--167. . DOI:10.1109/MCOM.2016.1600071CMhttp://doi.org/10.1109/MCOM.2016.1600071CM..

JA Fernandez, , , D Stancil, , , F Bai. . Dynamic channel equalization for IEEE 802. . 11p waveforms in the vehicle-to-vehicle channel. Proc 48$. {\rm{th}}$ Annual Allerton Conf on Communication, Control, and Computing, , 2010. . p. 542--551. . DOI:10.1109/ALLERTON.2010.5706954http://doi.org/10.1109/ALLERTON.2010.5706954..

XY Gao, , , LL Dai, , , Y Zhang, , , 等. . Fast channel tracking for terahertz beamspace massive MIMO systems. . IEEE Trans Veh Technol, , 2017a. . 66((7):):5689--5696. . DOI:10.1109/TVT.2016.2614994http://doi.org/10.1109/TVT.2016.2614994..

XY Gao, , , LL Dai, , , SF Han, , , 等. . Reliable beamspace channel estimation for millimeter-wave massive MIMO systems with lens antenna array. . IEEE Trans Wirel Commun, , 2017b. . 16((9):):6010--6021. . DOI:10.1109/TWC.2017.2718502http://doi.org/10.1109/TWC.2017.2718502..

N Garcia, , , H Wymeersch, , , EG Strm, , , 等. . Location-aided mm-Wave channel estimation for vehicular communication. . Proc IEEE 17$. {\rm{th}}$ Int Workshop on Signal Processing Advances in Wireless Communications, , 2016. . p. 1--5. . DOI:10.1109/SPAWC.2016.7536855http://doi.org/10.1109/SPAWC.2016.7536855..

YJ Gu, , , A Leshem. . Robust adaptive beamforming based on interference covariance matrix reconstruction and steering vector estimation. . IEEE Trans Signal Process, , 2012. . 60((7):):3881--3885. . DOI:10.1109/TSP.2012.2194289http://doi.org/10.1109/TSP.2012.2194289..

YJ Gu, , , NA Goodman, , , SH Hong, , , 等. . Robust adaptive beamforming based on interference covariance matrix sparse reconstruction. . Signal Process, , 2014. . 96375--381. . DOI:10.1016/j.sigpro.2013.10.009http://doi.org/10.1016/j.sigpro.2013.10.009..

RW Heath, , , N Gonzlez-Prelcic, , , S Rangan, , , 等. . An overview of signal processing techniques for millimeter wave MIMO systems. . IEEE J Sel Top Signal Process, , 2016. . 10((3):):436--453. . DOI:10.1109/JSTSP.2016.2523924http://doi.org/10.1109/JSTSP.2016.2523924..

N Kabaoglu. . Target tracking using particle filters with support vector regression. . IEEE Trans Veh Technol, , 2009. . 58((5):):2569--2573. . DOI:10.1109/TVT.2008.2005723http://doi.org/10.1109/TVT.2008.2005723..

LH Kong, , , MK Khan, , , F Wu, , , 等. . Millimeter-wave wireless communications for IoT-cloud supported autonomous vehicles: overview, design, and challenges. . IEEE Commun Mag, , 2017. . 55((1):):62--68. . DOI:10.1109/MCOM.2017.1600422CMhttp://doi.org/10.1109/MCOM.2017.1600422CM..

X Ma, , , F Yang, , , SC Liu, , , 等. . Sparse channel estimation for MIMO-OFDM systems in high-mobility situations. . IEEE Trans Veh Technol, , 2018. . 67((7):):6113--6124. . DOI:10.1109/TVT.2018.2811368http://doi.org/10.1109/TVT.2018.2811368..

M Mehrabi, , , M Mohammadkarimi, , , M Ardakani, , , 等. . A deep learning based channel estimation for high mobility vehicular communications. . Proc Int Conf on Computing, Networking and Communications, , 2020. . p. 338--342. . DOI:10.1109/ICNC47757.2020.9049735http://doi.org/10.1109/ICNC47757.2020.9049735..

J Palacios, , , D De Donno, , , J Widmer. . Tracking mm-Wave channel dynamics: fast beam training strategies under mobility. . Proc IEEE Conf on Computer Communications, , 2017. . p. 1--9. . DOI:10.1109/INFOCOM.2017.8056991http://doi.org/10.1109/INFOCOM.2017.8056991..

TS Rappaport, , , YC Xing, , , GR MacCartney, , , 等. . Overview of millimeter wave communications for fifth-generation (5G) wireless networks——with a focus on propagation models. . IEEE Trans Antenn Propag, , 2017. . 65((12):):6213--6230. . DOI:10.1109/TAP.2017.2734243http://doi.org/10.1109/TAP.2017.2734243..

A Sayeed, , , J Brady. . Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies. . Proc IEEE Global Communications Conf, , 2013. . p. 3679--3684. . DOI:10.1109/GLOCOM.2013.6831645http://doi.org/10.1109/GLOCOM.2013.6831645..

S Shaham, , , M Ding, , , M Kokshoorn. . Fast channel estimation and beam tracking for millimeter wave vehicular communications, , https://arxiv.org/abs/1806.00161https://arxiv.org/abs/1806.00161, , ..

WQ Shen, , , LL Dai, , , JP An, , , 等. . Channel estimation for orthogonal time frequency space (OTFS) massive MIMO. . IEEE Trans Signal Process, , 2019. . 67((16):):4204--4217. . DOI:10.1109/TSP.2019.2919411http://doi.org/10.1109/TSP.2019.2919411..

XH Wu, , , WP Zhu, , , J Yan. . Channel estimation and tracking with nested sampling for fast-moving users in millimeter-wave communication. . Digit Signal Process, , 2019. . 9429--37. . DOI:10.1016/j.dsp.2019.05.009http://doi.org/10.1016/j.dsp.2019.05.009..

C Zhang, , , DN Guo, , , PY Fan. . Tracking angles of departure and arrival in a mobile millimeter wave channel. . Proc IEEE Int Conf on Communications, , 2016. . 1--6. . DOI:10.1109/ICC.2016.7510902http://doi.org/10.1109/ICC.2016.7510902..

YF Zhou, , , PC Yip, , , H Leung. . Tracking the direction-of-arrival of multiple moving targets by passive arrays: algorithm. . IEEE Trans Signal Process, , 1999. . 47((10):):2655--2666. . DOI:10.1109/78.790648http://doi.org/10.1109/78.790648..

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Deep unfolding based channel estimation for wideband terahertz near-field massive MIMO systems

Polarization multiplexing based duplex radio-over-fiber link for millimeter wave signal transmission to a ring of multiple radio access units

A 31-45.5 GHz injection-locked frequency divider in 90-nm CMOS technology

Related Author

Jiabao GAO

Xiaoming CHEN

Geoffrey Ye LI

Tayyab MEHMOOD

Hina QAYYUM

Salman GHAFOOR

Fa-en LIU

Zhi-gong WANG

Related Institution

College of Information Science and Electronic Engineering, Zhejiang University

Department of Electrical and Electronic Engineering, Imperial College London

School of Electrical Engineering and Computer Science, National University of Sciences and Technology

Institute of RF- & OE-ICs, Southeast University

Address：Zhejiang University Press, 148 Tianmushan Road, Hangzhou, China Postal code：310028
Tel：+86-571-88273162 Email：fitee@zju.edu.cn
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰