Abstract
Millimeter waves (mmWaves) with very wide frequency bands are proposed for 5G new radio to deliver higher data-speed and capacity. Transmission using mmWaves suffers significant path loss and can be compensated by employing directional antennas. The narrow-beam directional antennas act as spatial filters that filter out multipaths falling outside their beam area. This, together with the insignificance of diffraction and diffused scattering in urban outdoors causes mmWave outdoor channel multipath to be spatially sparse with few specular reflections, posing unique requirements on channel modeling. In this paper, we have derived a low complexity mmWave directional channel model based on ray tracing for the urban microcell street canyon environment. A comprehensive characterization of outdoor links in various realistic scenarios including, line of sight (LOS)/non-LOS, beam aligned/unaligned and road canyon with/without crossroads is presented. The model captures azimuth and elevation directions of propagation in 3D plane by using a highly directional horn antenna design. Atmospheric absorption loss of mmWave is also modeled to enhance the model’s accuracy and generality. The model is validated against measurements reported in the literature. Furthermore, the channel is studied for varying propagation conditions, antenna beamwidths and polarizations, transmitter/receiver heights and positions, and street deployment parameters. Additionally, we propose a metaheuristic algorithm called particle swarm optimization to simultaneously optimize the deployment parameters that minimize path loss as the objective function. The proposed model helps in mmWave system evaluation without the necessity for any costly measurement setup or complex off-the-shelf ray tracing model.
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References
Rappaport, T. S., et al. (2017). Overview of millimeter wave communications for fifth-generation (5G) wireless networks-with a focus on propagation models. IEEE Transactions on Antennas and Propagation, 65, 6213–6230. https://doi.org/10.1109/TAP.2017.2734243.
Samsung. (2015). 5G Vision. Retrieved 20, April 2019, from https://www.samsung.com/global/business/networks/insights/white-paper/5g-vision/.
Niu, Y., Li, Y., Jin, D., Su, L., & Vasilakos, A. V. (2015). A survey of millimeter wave communications (mmWave) for 5G: Opportunities and challenges. Wireless Networks, 21, 2657–2676. https://doi.org/10.1007/s11276-015-0942-z.
Hemadeh, I. A., Satyanarayana, K., El-Hajjar, M., & Hanzo, L. (2018). Millimeter-wave communications: physical channel models, design considerations, antenna constructions, and link-budget. IEEE Communications Surveys and Tutorials, 20, 870–913. https://doi.org/10.1109/COMST.2017.2783541.
Sulyman, A. I., Alwarafy, A., MacCartney, G. R., Rappaport, T. S., & Alsanie, A. (2016). Directional radio propagation path loss models for millimeter-wave wireless networks in the 28-, 60-, and 73-GHz bands. IEEE Transactions on Wireless Communication., 15, 6939–6947.
Rappaport, T. S., MacCartney, G. R., Samimi, M. K., & Sun, S. (2015). Wideband millimeter-wave propagation measurements and channel models for future wireless communication system design. IEEE Transactions on Communications, 63, 3029–3056. https://doi.org/10.1109/TCOMM.2015.2434384.
WINNER. (2007). IST-4-027756 WINNER II Channel Models D1.1.2 V1.2. Retrieved 20, April 2019, from https://www.cept.org/files/8339/winner2%20-%20final%20report.pdf.
Kumari, S. M., Rao, S. A., & Kumar, N. (2019). Modeling and link budget estimation of directional mmWave outdoor environment for 5G. In IEEE European conference on networks and communications, EuCNC (pp. 106–111). https://doi.org/10.1109/eucnc.2019.8802001.
Fuschini, F., et al. (2017). Analysis of in-room mm-Wave propagation: Directional channel measurements and ray tracing simulations. Journal of Infrared, Millimeter, Terahertz Waves, 38, 727–744.
Fuschini, F., Zoli, M., Vitucci, E. M., Barbiroli, M., & Degli-Esposti, V. (2019). A study on millimeter-wave multiuser directional beamforming based on measurements and ray tracing simulations. IEEE Transactions on Antennas and Propagation, 67, 2633–2644. https://doi.org/10.1109/TAP.2019.2894271.
Steinmetzer, D., Classen, J., Hollick, M. (2016). mmTrace: Modeling millimeter-wave indoor propagation with image-based ray-tracing. In Millimeter wave networking workshop, mmNet. https://doi.org/10.1109/INFCOMW.2016.7562115.
Weiler, R. J., et al. (2016). Quasi-deterministic millimeter-wave channel models in MiWEBA. EURASIP Journal on Wireless Communications and Networking, 2016, 84. https://doi.org/10.1186/s13638-016-0568-6.
Zhang, H., Venkateswaran, S., & Madhow, U. (2010). Channel modeling and MIMO capacity for outdoor millimeter wave links. In IEEE Wireless communications and networking conference, WCNC (pp. 8–13). https://doi.org/10.1109/WCNC.2010.5506714.
Degli-Esposti, V., et al. (2014). Ray-tracing-based mm-wave beamforming assessment. IEEE Access, 2, 1314–1325. https://doi.org/10.1109/ACCESS.2014.2365991.
Kumari, S. M., Rao, S. A., & Kumar, N. (2015). Characterization of mmWave link for outdoor communications in 5G networks. In IEEE international conference on advances in computing, communications and informatics, ICACCI 2015. https://doi.org/10.1109/ICACCI.2015.7275582.
Kumari, S. M., Rao, S. A., & Kumar, N. (2018). Outdoor millimeter-wave channel modeling for uniform coverage without beam steering. In Lecture notes of the institute for computer sciences, social-informatics and telecommunications engineering, LNICST. Springer. https://doi.org/10.1007/978-3-319-73423-1_21.
Yang, J., et al. (2017). A simplified multipath component modeling approach for high-speed train channel based on ray tracing. Wireless Communications and Mobile Computing, 2017, 1–14.
Khatun, M., Mehrpouyan, H., Matolak, D., Guvenc, I. (2017). Millimeter wave systems for airports and short-range aviation communications: A survey of the current channel models at mmWave frequencies. In IEEE digital avionics systems conference, DASC. https://doi.org/10.1109/DASC.2017.8102042.
ITU-R Recommendation. (2016). Attenuation by atmospheric gases. ITU-R P.676-11. Retrieved 5, Oct 2019, from https://www.itu.int/rec/R-REC-P.676-11-201609-I.
mmMAGIC. (2017). Measurement Results and Final mmMAGIC Channel Models. Retrieved 30, Aug 2019, from https://bscw.5g-mmmagic.eu/pub/bscw.cgi/d202656/mmMAGIC_D2-2.pdf.
Madhow, U. (2014). Introduction to communication systems. Cambridge: Cambridge University Press.
FCC Report and Order (2019). Retrieved 23, May 2019, from https://apps.fcc.gov/edocs_public/attachmatch/FCC-13-112A1.pdf.
Liebe, H. J. (1989). MPM-An atmospheric millimeter-wave propagation model. International Journal of Infrared and Millimeter Waves, 10, 631–650.
GPP. (2017). Study on channel model for frequencies from 0.5 to 100 GHz. 3rd Generation Partnership Project (3GPP), Tech. Rep. TR 38.901 V14.1.1 Release 14. Retrieved 13, March 2019, from http://www.3gpp.org/DynaReport/38901.html.
Polese, M., Zorzi, M. (2018). Impact of channel models on the end-to-end performance of Mmwave cellular networks. In IEEE workshop on signal processing advances in wireless communications, SPAWC. https://doi.org/10.1109/SPAWC.2018.8445856.
Bechta, K., Rybakowski, M., Hsieh, F., & Chizhik, D. (2018). Modeling of radio link budget with beamforming antennas for evaluation of 5G systems. In IEEE 5G world forum, 5GWF 2018—conference proceedings (pp. 427–432). https://doi.org/10.1109/5GWF.2018.8516969.
El-Sallabi, H. M., Vainikainen, P. (1988). Modeling and simulation of wideband radio channel characterization for an urban line-of-sight microcell. In: IEEE vehicular technology conference (pp. 2383–2387).
Far field radiation from electric current. Retrieved 23, May 2019, from http://www.thefouriertransform.com/applications/radiation.php.
Sun, S., et al. (2015). Synthesizing omnidirectional antenna patterns, received power and path loss from directional antennas for 5G millimeter-wave communications. In Proceedings of IEEE global communications conference, GlobeCom (pp. 1–7).
Zhang, Y., Wang, S., & Ji, G. (2015). A comprehensive survey on particle swarm optimization algorithm and its applications. Hindawi Mathematical Problems in Engineering. https://doi.org/10.1155/2015/931256.
Nayyar, A., & Nguyen, N. G. (2018). Introduction to swarm intelligence. In Advances in Swarm intelligence for optimizing problems in computer science (pp. 53–78). CRC.
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Kumari, M.S., Kumar, N. Channel model for simultaneous backhaul and access for mmWave 5G outdoor street canyon channel. Wireless Netw 26, 5997–6013 (2020). https://doi.org/10.1007/s11276-020-02421-0
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DOI: https://doi.org/10.1007/s11276-020-02421-0