Research article

Millimetre wave 3-D channel modelling for next generation 5G networks


  • Received: 26 November 2021 Accepted: 11 January 2022 Published: 14 January 2022
  • Millimetre wave (mm-wave) spectrum (30-300GHz) is a key enabling technology in the advent of 5G. However, an accurate model for the mm-wave channel is yet to be developed as the existing 4G-LTE channel models (frequency below 6 GHz) exhibit different propagation attributes. In this paper, a spatial statistical channel model (SSCM) is considered that estimates the characteristics of the channel in the 28, 60, and 73 GHz bands. The SSCM is used to mathematically approximate the propagation path loss in different environments, namely, Urban-Macro, Urban-Micro, and Rural-Macro, under Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) conditions. The New York University (NYU) channel simulator is utilised to evaluate the channel model under various conditions including atmospheric effects, distance, and frequency. Moreover, a MIMO system has been evaluated under mm-wave propagation. The main results show that the 60 GHz band has the highest attenuation compared to the 28 and 73 GHz bands. The results also show that increasing the number of antennas is proportional to the condition number and the rank of the MIMO channel matrix.

    Citation: Latih Saba'neh, Obada Al-Khatib. Millimetre wave 3-D channel modelling for next generation 5G networks[J]. AIMS Electronics and Electrical Engineering, 2022, 6(1): 29-42. doi: 10.3934/electreng.2022003

    Related Papers:

  • Millimetre wave (mm-wave) spectrum (30-300GHz) is a key enabling technology in the advent of 5G. However, an accurate model for the mm-wave channel is yet to be developed as the existing 4G-LTE channel models (frequency below 6 GHz) exhibit different propagation attributes. In this paper, a spatial statistical channel model (SSCM) is considered that estimates the characteristics of the channel in the 28, 60, and 73 GHz bands. The SSCM is used to mathematically approximate the propagation path loss in different environments, namely, Urban-Macro, Urban-Micro, and Rural-Macro, under Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) conditions. The New York University (NYU) channel simulator is utilised to evaluate the channel model under various conditions including atmospheric effects, distance, and frequency. Moreover, a MIMO system has been evaluated under mm-wave propagation. The main results show that the 60 GHz band has the highest attenuation compared to the 28 and 73 GHz bands. The results also show that increasing the number of antennas is proportional to the condition number and the rank of the MIMO channel matrix.



    加载中


    [1] Hur S, Baek S, Kim B, et al. (2016) Proposal on Millimeter-Wave Channel Modeling for 5G Cellular System. IEEE J-STSP 10: 454-469. https://doi.org/10.1109/jstsp.2016.2527364. doi: 10.1109/jstsp.2016.2527364
    [2] Xiao M, Mumtaz S, Huang Y, et al. (2017) Millimeter Wave Communications for Future Mobile Networks (Guest Editorial), Part Ⅰ. IEEE J Sel Area Comm 35: 1425-1431. https://doi.org/10.1109/jsac.2017.2698698. doi: 10.1109/jsac.2017.2698698
    [3] Li Q, Shirani-Mehr H, Balercia T, et al. (2015) Millimeter wave channel model and system design considerations. In 2015 IEEE International Conference on Communication Workshop (ICCW), 1214-1219. https://doi.org/10.1109/iccw.2015.7247343.
    [4] Ko J, Lee K, Cho YJ, et al. (2016) Feasibility study and SPATIAL-TEMPORAL Characteristics analysis for 28 GHz outdoor wireless channel modelling. IET Commun 10: 2352-2362. https://doi.org/10.1049/iet-com.2015.0318 doi: 10.1049/iet-com.2015.0318
    [5] Akdeniz M, Liu Y, Samimi M, et al. (2014) Millimeter Wave Channel Modeling and Cellular Capacity Evaluation. IEEE J Sel Area Comm 32: 1164-1179. https://doi.org/10.1109/jsac.2014.2328154. doi: 10.1109/jsac.2014.2328154
    [6] Sun S, Rappaport TS, Rangan S, et al. (2016) Propagation path Loss models for 5G Urban micro- And Macro-Cellular Scenarios. In 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 1-6. https://doi.org/10.1109/vtcspring.2016.7504435.
    [7] Rappaport T, MacCartney G, Samimi M, et al. (2015) Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design. IEEE T Commun 63: 3029-3056. https://doi.org/10.1109/tcomm.2015.2434384. doi: 10.1109/tcomm.2015.2434384
    [8] Sulyman A, Nassar A, Samimi M, et al. (2014) Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bands. IEEE Commun Mag 52: 78-86. https://doi.org/10.1109/mcom.2014.6894456. doi: 10.1109/mcom.2014.6894456
    [9] Sun S, Rappaport T, Thomas T, et al. (2016) Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications. IEEE T Veh Technol 65: 2843-2860. https://doi.org/10.1109/tvt.2016.2543139. doi: 10.1109/tvt.2016.2543139
    [10] MacCartney GR, Sun S, Rappaport T, et al. (2016) Millimeter wave wireless communications: new results for rural connectivity. Proceedings of the 5th Workshop on All Things Cellular: Operations, Applications and Challenges.
    [11] Marcus MJ (1994) Spectrum management implications of millimeter Wave technology. In 1994 IEEE MTT-S International Microwave Symposium Digest (Cat. No.94CH3389-4), 631-634. https://doi.org/10.1109/mwsym.1994.335502.
    [12] Kestwal M, Joshi S, Garia L (2014) Prediction of Rain Attenuation and Impact of Rain in Wave Propagation at Microwave Frequency for Tropical Region (Uttarakhand, India). International Journal Of Microwave Science And Technology 2014: 1-6. https://doi.org/10.1155/2014/958498. doi: 10.1155/2014/958498
    [13] International Telecommunication Union (ITU) (2005) Specific attenuation model for rain for use in prediction methods. P.838-3 (03/2005).
    [14] Samimi M, Rappaport T (2016) 3-D Millimeter-Wave Statistical Channel Model for 5G Wireless System Design. IEEE T Microw Theory 64: 2207-2225. https://doi.org/10.1109/tmtt.2016.2574851. doi: 10.1109/tmtt.2016.2574851
    [15] Sun S, MacCartney GR, Rappaport TS (2017) A novel millimeter-wave Channel simulator and applications for 5G wireless communications. In 2017 IEEE International Conference on Communications (ICC), 1-7. https://doi.org/10.1109/icc.2017.7996792.
    [16] NYUSIM Version 1.4 - NYU WIRELESS. NYU WIRELESS (2021) Retrieved 30 July 2021. Available from: http://wireless.engineering.nyu.edu/nyusim-version-1-4-now-available/.
    [17] Caetano L, Li S (2005) Benefits of 60 GHz: Right Frequency, Right Time. Retrieved 15 July 2021. Available from: https://www.yumpu.com/en/document/read/27278508/benefits-of-60-ghz-energie-technik.
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1705) PDF downloads(177) Cited by(1)

Article outline

Figures and Tables

Figures(11)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog