Review Article | | Peer-Reviewed

Review of Channel Measurements and Modeling for Successful 5G System Deployments

Received: 5 August 2024     Accepted: 27 August 2024     Published: 20 September 2024
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Abstract

The deployment of 5G wireless networks has enabled the investigation of numerous potential applications across a variety of sectors. To enhance the efficiency of 5G systems, it is imperative to have a thorough understanding of millimeter-wave wireless channels, different multi-access techniques, massive MIMO technologies, beamforming, modulation, and coding. Adjusting the channel modeling approach to accommodate specific characteristics of the deployment site, such as geographical obstructions like hills, tunnels, road infrastructure, and mountains, may prove to be crucial. This review paper delves into the challenges associated with channel modeling, underscoring the importance of multipath components and the diverse measurement techniques required for enhancing 5G communication. Additionally, it delves into the complexities of accurately depicting the behavior of wireless channels in various scenarios and assesses the key factors that could significantly affect the functionality of 5G networks across different environments. For instance, it becomes clear that indoor channels provide a greater impediment than outdoor channels because barriers such as walls, furniture, and human activities can impede signal transmission and interrupt communication. Indoor channels display complex characteristics that include fluctuations in the angles at which signals arrive, transmission of numerous signals over different paths, and a wide range of scattering qualities that are specific to indoor environments. Hence, it is crucial to modify the measurement procedures to correspond to the unique characteristics of indoor channels. Indoor wireless communication relies on channels available both within and outside the structure. Evaluation aspects such as, macroscopic fading, microscopic fading, and shadow fading are critical because these elements have a significant impact on the channel capacity.

Published in International Journal of Wireless Communications and Mobile Computing (Volume 11, Issue 2)
DOI 10.11648/j.wcmc.20241102.12
Page(s) 31-38
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Millimeter Wave, 5G, Massive Multiple Inputs Multiple Outputs, Beamforming, Angle of Arrival, Angle of Departure, High Speed Train, Vehicle-2-Vehicle

References
[1] S. Visvesvaraya, "Study on four disruptive technologies for 5G and beyond wireless communication," CSI Transactions on ICT, vol. 8, p. 171–180, June 2, 2020.
[2] Bartelt, "5G transport network requirements for the next generation fronthaul interface," EURASIP Journal on Wireless Communications and Networking, vol. 89, 2017.
[3] Mehrdad Shariat, "A Flexible Network Architecture for 5G Systems," Wireless Communication and Mobile Computing, August 2, 2019.
[4] E. E. Salah, F. Mikael, S. Panagiotis, Z. Gerd, and M.-S. David, "5G service requirements and operational use cases: analysis and METIS II vision," 2016 European Conference on Networks and Communications (EuCNC), 27–30 June 2016.
[5] Yong Niu, "A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges," The Journal of Mobile Communication, Computation, and Information, p. 2657–2676, 9 April 2015.
[6] S. D. J. Mercy Sheeba, "Beamforming Techniques for Millimeter Wave Communications: A Survey," Emerging Trends in Computing and Expert Technology, p. 1563–1573, November 7, 2019.
[7] Said El-Khamy, "A smart multi-user massive MIMO system for next-generation wireless communications using evolutionary optimized antenna selection," Telecommunication Systems Modelling, Analysis, Design, and Management, p. 309–317, 2017.
[8] C. Yi and H. Chong, "Channel Modeling and Characterization for Wireless Networks-on-Chip Communications in the Millimeter Wave and Terahertz Bands," IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 5, no. 1, pp. 30–43, October 2019.
[9] C. S. a. M. T. Guneser, "Review of 5G Channel Models and Modeling of Indoor Path Loss at 32 GHz," American Journal of Computer Science and Engineering Survey Op, vol. 9, no. 1, 2021.
[10] Muhammad-Yasir, "G2A Communication Channel Modeling and Characterization Using Confocal Prolates," Wireless Personal Communications, vol. 115, p. 745–787, 21 June 2020.
[11] Pavel Kukolev, "In-vehicle channel sounding in the 5.8-GHz band," EURASIP Journal on Wireless Communications and Networking, 2015.
[12] J. W. Xueru Li, "Massive MIMO with multi-cell MMSE processing: exploiting all pilots for interference suppression," EURASIP Journal on Wireless Communications and Networking, 26 June 2017.
[13] O. Renaudin, V.-M. Kolmonen, P. Vainikainen, and C. Oestges, "Wideband measurement-based modeling of inter-vehicle channels in the 5 GHz band," Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP), 11–15 April 2013.
[14] Xiaoling Xu, "Key technology and application of millimeter wave communications for 5G: a survey," Cluster Computing, vol. 22, p. 12997–13009, 2019.
[15] O. H. Koymen, P. Andrzej, S. Sundar, and L. Junyi, "Indoor mm-wave channel measurements: a comparative study of 2.9 GHz and 29 GHz," IEEE Global Communications Conference (GLOBECOM), 6–10 December 2015.
[16] Theodore S. Rappaport, "Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—with a Focus on Propagation Models," IEEE Transactions on Antennas and Propagation, August 2017.
[17] L. Zhijian, D. Xiaojiang, C. Hsiao-Hwa, A. Bo, C. Zhifeng, and W. Dapeng, "Millimeter-Wave Propagation Modeling and Measurements for 5G Mobile Networks," IEEE Wireless Communications, vol. 26, no. 1, pp. 72–77, February 2019.
[18] T. T. Oladimeji, P. Kumar, and M. K. Elmezughi, “Performance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHz,” PLoS ONE, vol. 18, no. 3, p. e0283005, Mar. 2023,
[19] I. S. P. P. Aruna Kumari, "Signal propagation analysis at 28GHz and 73GHz millimeter wave bands for next generation networks," International Journal of Image, Graphics, and Signal Processing, vol. 11, no. 8, 2019.
[20] Weiqiang Tan, "Multiuser precoding scheme and achievable rate analysis for massive MIMO systems," EURASIP Journal on Wireless Communications and Networking, volume 22, August 2018.
[21] J. Chen, X. Yin, X. Cai, and W. Stephen, "Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments," IEEE Access, vol. 5, pp. 2126–2140, 16 January 2017.
[22] J. Huang, W. Cheng-Xiang, F. Rui, S. Jian, and Z. Wensheng, "Multi-Frequency mmWave Massive MIMO Channel Measurements and Characterization for 5G Wireless Communication Systems," IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, July 2017.
[23] F. Rui, W. Cheng-Xiang, H. Jie, G. Xiqi, S. Sana, and H. Harald, "Classification and Comparison of Massive MIMO Propagation Channel Models," IEEE Internet of Things Journal, vol. 9, no. 23, pp. 23452–23471, December 2022.
[24] Cheng-Xiang Wang, "Recent advances and future challenges for massive MIMO channel measurements and models," Special Focus on 5G Wireless Communication Networks, vol. 59, p. 1–16, January 7, 2016.
[25] L. Jian-zhi Li, "Indoor massive multiple-input multiple-output channel characterization and performance evaluation," vol. 18, p. 773–787, June 30, 2017.
[26] S. Joseph Isabona, "Downlink Massive MIMO Systems: Achievable Sum Rates and Energy Efficiency Perspective for Future 5G Systems," Wireless Personal Communications, vol. 96, p. 2779–2796, 16 May 2017.
[27] C. Rui, L. Wen-Xuan, M. Guoqiang, and L. Changle, "Development Trends of Mobile Communication Systems for Railways," IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 3131–3141, July 24, 2018.
[28] S. Paul Unterhuber, "Path loss models for train-to-train communications in typical high-speed railway environments," 11th European Conference on Antennas and Propagation (EuCAP 2017), 27 February 2018.
[29] H. Lei Zhang, "Broadband Wireless Channel in Composite High-Speed Railway Scenario: Measurements, Simulation, and Analysis," Wireless Communications in Transportation Systems, May 30, 2017.
[30] J. Rodriguez-Pineiro, P. Suarez-Casal, M. Lerch, S. Caban, and J. A. Garcia-Naya, "LTE Downlink Performance in High Speed Trains," 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 11–14 May 2015.
[31] Z. W. Miao Hu, "Theoretical Analysis of Obstruction’s Influence on Data Dissemination in Vehicular Networks," Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering (LNICST), vol. 184, p. 105–116, 17 December 2016.
[32] R.-S. H. Zhang-Dui Zhong, "Radio Propagation and Wireless Channel for Railway Communications," Dedicated Mobile Communications for High-speed Railway, pp. 57–123, August 15, 2017.
[33] Azpilicueta Leyre, "Wireless channel properties for vehicular environments," Radio Wave Propagation in Vehicular Environments, December 2020.
[34] X. Zhao, S. Li, X. Liang, Q. Wang, L. Hentilä, and J. Meinilä, "Measurements and modeling for D2D indoor wideband MIMO radio channels at 5 GHz," The Institution of Engineering and Technology, vol. 10, no. 14, p. 1839–1845, 20 September 2016.
[35] V. M. Derek Doran, "Propagation studies for mobile-to-mobile communications,” Propagation Phenomena in Real World Networks, January 1, 2015.
[36] S. M. I. A. a. A. U., "Modelling and simulation of a generalized vehicle-to-vehicle fading channel," The Institution of Engineering and Technology, vol. 7, no. 9, p. 818–827, 2013.
[37] Y. I. Yanwu Ding, "Simulation models for mobile-to-mobile channels with isotropic and nonisotropic scattering," Peer-to-Peer Networking and Applications, vol. 14, p. 507–527, 2021.
[38] Y. Xichen Liu, "Empirical study on directional millimeter-wave propagation in vehicle-to-infrastructure communications between road and roadside," Frontiers of Information Technology & Electronic Engineering, vol. 22, p. 503–516, May 2, 2021.
[39] K. Y. Changzhen Li, "Measurements and analysis of vehicular radio channels in the inland lake bridge area," The Institution of Engineering and Technology, 12 April 2019.
[40] X. Wu, C.-X. Wang, J. Sun, J. Huang, R. Feng, Y. Yang, and G. Xiaohu, "60-GHz Millimeter-Wave Channel Measurements and Modeling for Indoor Office Environments," IEEE Transactions on Antennas and Propagation, pp. 1912–1924, 15 February 2017.
[41] L. Wang, J. Chen, X. Wei, J. Cui, and B. Zheng, "First-order reflection MIMO channel model for 60 GHz NLOS indoor WLAN systems," IEEE International Conference on Communication Systems, November 19–21, 2014.
[42] Swetank Kumar Saha, "60 GHz indoor WLANs: insights into performance and power consumption," Wireless Networks, vol. 24, p. 2427–2450, March 4, 2018.
[43] S. M. B. Shaela Sharmin, "Characterization of WLAN System for 60 GHz Residential Indoor Environment Based on Statistical Channel Modeling," International Journal of Wireless and Microwave Technologies, vol. 10, no. 2, 2020.
[44] C. A. Ali Kabalan, "Millimeter-wave home area network prospect with cost-effective RoF links," Optical and Quantum Electronics, January 3, 2019.
[45] M. A. F. Junghoon Ko, "Millimeter-Wave Channel Measurements and Analysis for Statistical Spatial Channel Model in In-Building and Urban Environments at 28 GHz," IEEE Transactions on Wireless Communications, vol. 16, no. 9, pp. 5853–5868, September 2017.
Cite This Article
  • APA Style

    Kola-Jnr, A., Ibikunle, F., Olamide, A. F., Unaegbu, B., Joshua, O., et al. (2024). Review of Channel Measurements and Modeling for Successful 5G System Deployments. International Journal of Wireless Communications and Mobile Computing, 11(2), 31-38. https://doi.org/10.11648/j.wcmc.20241102.12

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    ACS Style

    Kola-Jnr, A.; Ibikunle, F.; Olamide, A. F.; Unaegbu, B.; Joshua, O., et al. Review of Channel Measurements and Modeling for Successful 5G System Deployments. Int. J. Wirel. Commun. Mobile Comput. 2024, 11(2), 31-38. doi: 10.11648/j.wcmc.20241102.12

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    AMA Style

    Kola-Jnr A, Ibikunle F, Olamide AF, Unaegbu B, Joshua O, et al. Review of Channel Measurements and Modeling for Successful 5G System Deployments. Int J Wirel Commun Mobile Comput. 2024;11(2):31-38. doi: 10.11648/j.wcmc.20241102.12

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  • @article{10.11648/j.wcmc.20241102.12,
      author = {Akorede Kola-Jnr and Francis Ibikunle and Ariba Folashade Olamide and Bright Unaegbu and Olubiyi Joshua and Adedire Collins},
      title = {Review of Channel Measurements and Modeling for Successful 5G System Deployments
    },
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {11},
      number = {2},
      pages = {31-38},
      doi = {10.11648/j.wcmc.20241102.12},
      url = {https://doi.org/10.11648/j.wcmc.20241102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20241102.12},
      abstract = {The deployment of 5G wireless networks has enabled the investigation of numerous potential applications across a variety of sectors. To enhance the efficiency of 5G systems, it is imperative to have a thorough understanding of millimeter-wave wireless channels, different multi-access techniques, massive MIMO technologies, beamforming, modulation, and coding. Adjusting the channel modeling approach to accommodate specific characteristics of the deployment site, such as geographical obstructions like hills, tunnels, road infrastructure, and mountains, may prove to be crucial. This review paper delves into the challenges associated with channel modeling, underscoring the importance of multipath components and the diverse measurement techniques required for enhancing 5G communication. Additionally, it delves into the complexities of accurately depicting the behavior of wireless channels in various scenarios and assesses the key factors that could significantly affect the functionality of 5G networks across different environments. For instance, it becomes clear that indoor channels provide a greater impediment than outdoor channels because barriers such as walls, furniture, and human activities can impede signal transmission and interrupt communication. Indoor channels display complex characteristics that include fluctuations in the angles at which signals arrive, transmission of numerous signals over different paths, and a wide range of scattering qualities that are specific to indoor environments. Hence, it is crucial to modify the measurement procedures to correspond to the unique characteristics of indoor channels. Indoor wireless communication relies on channels available both within and outside the structure. Evaluation aspects such as, macroscopic fading, microscopic fading, and shadow fading are critical because these elements have a significant impact on the channel capacity.
    },
     year = {2024}
    }
    

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    AU  - Akorede Kola-Jnr
    AU  - Francis Ibikunle
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    AB  - The deployment of 5G wireless networks has enabled the investigation of numerous potential applications across a variety of sectors. To enhance the efficiency of 5G systems, it is imperative to have a thorough understanding of millimeter-wave wireless channels, different multi-access techniques, massive MIMO technologies, beamforming, modulation, and coding. Adjusting the channel modeling approach to accommodate specific characteristics of the deployment site, such as geographical obstructions like hills, tunnels, road infrastructure, and mountains, may prove to be crucial. This review paper delves into the challenges associated with channel modeling, underscoring the importance of multipath components and the diverse measurement techniques required for enhancing 5G communication. Additionally, it delves into the complexities of accurately depicting the behavior of wireless channels in various scenarios and assesses the key factors that could significantly affect the functionality of 5G networks across different environments. For instance, it becomes clear that indoor channels provide a greater impediment than outdoor channels because barriers such as walls, furniture, and human activities can impede signal transmission and interrupt communication. Indoor channels display complex characteristics that include fluctuations in the angles at which signals arrive, transmission of numerous signals over different paths, and a wide range of scattering qualities that are specific to indoor environments. Hence, it is crucial to modify the measurement procedures to correspond to the unique characteristics of indoor channels. Indoor wireless communication relies on channels available both within and outside the structure. Evaluation aspects such as, macroscopic fading, microscopic fading, and shadow fading are critical because these elements have a significant impact on the channel capacity.
    
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