Towards Reliable Wireless Communication in High Speed Trains Using Massive MIMO

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 2

Year of Publication : 2025

Authors : Maharshi Bhatt, Komal Borisagar

10.14445/23488549/IJECE-V12I2P105

How to Cite?

Maharshi Bhatt, Komal Borisagar, "Towards Reliable Wireless Communication in High Speed Trains Using Massive MIMO," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 2, pp. 54-64, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I2P105

Abstract:

Nowadays, High-Speed Train is efficiently used as the fastest mode of ground transportation. To provide Seamless high-speed wireless broadband connectivity onboard the train is a huge challenge. Major challenges in high-speed rail scenarios are Intercarrier Interference, Channel estimation errors, Doppler spread, Carrier frequency offset and Inter beam interference. Massive MIMO has been proven to be an emerging technique for high data rate communication in high mobility scenarios due to higher throughput, higher spectra, and higher energy efficiency. In this paper, various wireless channel parameters like achievable rate in bits/S/Hz for MF and MMSE receivers, Doppler spread in beamforming antenna systems, radiation beam patterns and Constellation diagrams for various modulation methods are derived. RMS value of Error Vector Magnitude (% EVM) is also derived for all users for various cases. The new advanced system with kalman filtering is proposed, and Bit Error Rate vs SNR is obtained for QPSK modulation schemes and different numbers of Tx antennas for High Speed Train. From overall simulation results, it is observed that by increasing more number of antennas in the Massive MIMO system, a high-performance wireless communication system for high-speed trains can be designed.

Keywords:

Massive MIMO, High speed train, Signal to noise ratio, Doppler Frequency Offset, Bit error rate, Spectral efficiency, Radiation beam, Inter beam interference, Ergodic achievable rate, Error vector magnitude, Beamforming.

References:

[1] Hien Quoc Ngo, Erik G. Larsson, and Thomas L. Marzetta, “Energy and Spectral Efficiency of Very Large Multiuser MIMO Systems,” IEEE Transactions on Communications, vol. 61, no. 4, pp. 1436-1449, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Jingxian Wu, and Pingzhi Fan, “A Survey on High Mobility Wireless Communications: Challenges, Opportunities and Solutions,” IEEE Access, vol. 4, pp. 450-476, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Ana Gonzalez-Plaza et al., “5G Communications in High Speed and Metropolitan Railways,” 11th European Conference on Antennas and Propagation, Paris, France, pp. 658-660, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Yu Liu, Cheng-Xiang Wang, and Jie Huang, “Recent Developments and Future Challenges in Channel Measurements and Models for 5G and Beyond High-Speed Train Communication Systems,” IEEE Communications Magazine, vol. 57, no. 9, pp. 50-56, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Jiaxun Lu et al., “Location-Aware ICI Reduction in MIMO-OFDM Downlinks for High-Speed Railway Communication Systems,” IEEE Transactions on Vehicular Technology, vol. 67, no. 4, pp. 2958-2972, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Jakob Hoydis, Stephan Ten Brink, and M ́erouane Debbah, “Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 2, pp. 160-171, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Wei Guo et al., “High-Mobility Wideband Massive MIMO Communications: Doppler Compensation, Analysis and Scaling Laws,” IEEE Transactions on Wireless Communications, vol. 18, no. 6, pp. 3177-3191, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Andreas F. Molisch et al., “Hybrid Beamforming for Massive MIMO: A Survey,” IEEE Communications Magazine, vol. 55, no. 9, pp. 134-141, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Zheda Li, Shengqian Han, and Andreas F. Molisch, “Hybrid Beamforming Design for Millimeter-Wave Multi-User Massive MIMO Downlink,” IEEE International Conference on Communications, Kuala Lumpur, Malaysia, pp. 1-6, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[10] K. Deepthi et al., “Massive MIMO Hybrid Beamforming,” 5th International Conference for Emerging Technology, Belgaum, India, pp. 1-5, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Anjali Baliyan, and Mohd. Gulamn Siddiqui, “Beam Forming Techniques in MIMO Antenna: A Review,” International Conference on Sustainable Emerging Innovations in Engineering and Technology, Ghaziabad, India, pp. 470-474, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Weiqiang Tan et al., “Multiuser Precoding Scheme and Achievable Rate Analysis for Massive MIMO System,” EURASIP Journal on Wireless Communications and Networking, vol. 208, pp. 1-12, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Jiakang Zheng et al., “Cell-Free Massive MIMO-OFDM for High-Speed Train Communications,” IEEE Journal on Selected Areas in Communications, vol. 40, no. 10, pp. 2823-2839, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Jigang Cao et al., “Position-Aware Uplink Beamwidth Adjustment Scheme of Massive MIMO for High-Speed Railway Communications,” IEEE 11th International Conference on Communication Software and Networks, Chongqing, China, pp. 303-308, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Selvi Lukman et al., “Path Loss Modelling for High-Speed Rail in 5G Communication System,” International Journal of Technology, vol. 13, no. 4, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Majin Rachael Nnagana et al., “Massive MIMO for High Speed Train Communication Systems,” AU eJournal of Interdisciplinary Research, vol. 4, no. 2, pp. 1-16, 2019.
[Google Scholar] [Publisher Link]
[17] Z.A. Shamsan, “Statistical Analysis of 5G Channel Propagation using MIMO and Massive MIMO Technologies,” Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7417-7423, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[18] A.A. Alzamil, “Assessment of Uplink Massive MIMO in Scattering Environment,” Engineering, Technology & Applied Science Research, vol. 10, no. 5, pp. 6290-6293, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Jalal Rachad, Ridha Nasri, and Laurent Decreusefond, “A 3D Beamforming Scheme Based on the Spatial Distribution of User Locations,” IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul, Turkey, pp. 1-7, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Yang Liu et al., “Joint Beam Selection and Precoding Based on Differential Evolution for Millimeter-Wave Massive MIMO Systems,” IEEE International Conference on Acoustics, Speech and Signal Processing, Singapore, pp. 5318-5322, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Yating Hu et al., “Joint Beamforming and Power Allocation Design for Stacked Intelligent Metasurfaces-Aided Cell-Free Massive MIMO Systems,” IEEE Transactions on Vehicular Technology, pp. 1-6, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Yuwei Zhang et al., “Positioning-Assisted 3D Beamforming Systems and Their Outage Analysis,” IEEE/CIC International Conference on Communications in China, Hangzhou, China, pp. 72-77, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Grigoriy Fokin, “Location-Aware Spatial Selection with Beam Shape and Width Control in 5G mm Wave UDN,” IEEE International Black Sea Conference on Communications and Networking, Tbilisi, Georgia, pp. 72-77, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Yu Fu et al., “BER Performance of Spatial Modulation Systems under a Non-Stationary Massive MIMO Channel Model,” IEEE Access, vol. 8, pp. 44547-44558, 2020.
[CrossRef] [Google Scholar] [Publisher Link]