Approaches to modeling the channel of millimeter range for mobile communication systems

DOI: 10.31673/2412-9070.2019.062428

Abstract

The paper discusses the main approaches to modeling radio channels in the millimeter range. The bandwidth in the millimeter wavelength range is a significant part of the unused frequency spectrum from 30 to 300 GHz, which is an important resource for future wireless communication systems. The development of technology in the millimeter wavelength range is an important link in the development of 5G (and next generations), in mobile cellular communications, in the «Internet of things» and other technologies. The development of mathematical models of radio systems in the millimeter wavelength range is an ongoing process and is based on patterns that are distinguishable from modeling approaches in other wavelength ranges. It is shown that to improve the models for the long-term development of future wireless systems in the millimeter-wave range, especially for the mobile industry, new concepts of model development based on fundamental physical approaches are needed. The analysis of the components of the energy budget of the radio link in the millimeter range. For systems in the millimeter-wave range, characteristic effects of scattering, reflections, blocking probability is high (low diffraction), media absorption, dependence of absorption on weather conditions and carrier frequency in the millimeter range (presence of transparency windows and absorption peaks), molecular noise absorption. A multi-beam model of a radio channel in the millimeter range is proposed, which takes into account the effects of molecular absorption (re-radiation) in the atmosphere and the effects of signal reflection in urban areas. It is shown that solutions based on mplification due to diffraction and reflections can be used in designing millimeter-range mobile systems for the urban scenario, which will significantly improve energy efficiency.

Keywords: millimeter-wave range; mobile communication; channel loss; radio channel model.

References
1. Yu J., Li X., Chi N. Faster than fiber: Over 100-Gb/s signal delivery in fiber wireless integration system // Opt. Express. 2013. №19. P. 22885–22904.
2. Small-Scale, Local Area, and Transitional Millimeter Wave Propagation for 5G Cellular Communications / T. S. Rappaport [et al.] // IEEE Transactions on Antennas and Propagation. 2017. №12 (65). P. 6474–6490.
3. Samimi M. K., Rappaport T. S., MacCartney G. R. Probabilistic omnidirectional path loss models for millimeter-wave outdoor communications // IEEE Wireless Communications Letters. 2015. №4 (4). P. 357–360.
4. 5GCM Channel Model for bands up to 100 GHz,5GCM: tech. Rep. Oct. [Online]. Available: http://www.5gworkshops.com/5GCM.html
5. Indoor office wideband millimeter-wave propagation measurements and channel models at 28 and 73 GHz for ultra-dense 5G wireless networks / G. R. Maccartney, T. S. Rappaport, S. Sun, S. Den // IEEE Access. 2015. (3). P. 2388–2424.
6. Millimeter waves channel measurements and path loss models / S. Piersanti, L. A. Annoni, D. Cassioli Piersanti S. // IEEE International Conference on Communications (ICC). Canada. 2012. P. 4552–4556.
7. Overview of millimeter wave communications for fifth-generation (5G) wireless networks / T. S. Rappaport, Y. Xing, G. R. MacCartney [et al.] // IEEE Transactions on Antennas and Propagation. 2017. Vol. 65. P. 6213–6230.
8. MacCartney G. R., Rappaport T. S. Rural macrocell path loss models for millimeter wave wireless communications // IEEE Journal on Selected I. Toyoda, and K. Takahashi. RF impairment models for 60 GHzband SYS/PHY simulation: tech. Rep., IEEE 802.15-06-0477-01-003c. Nov.2006.
9. What will 5G be? / J. G. Andrews [et al.] // IEEE J. Sel. Areas Commun. 2014. №6 (32). P. 1065–1082.
10. Millimeter wave mobile communications for 5G cellular: It will work! / T. S. Rappaport [et al.] // IEEE Access. 2013. (1). P. 335–349.
11. Kokkoniemi J., Lehtomаki J., Juntti M. A discussion on molecular absorption noise in the terahertz band // Juornal of Nano Communication Networks. 2010. Vol. 8. P. 35–45.
12. Jornet J. M., Akyildiz I. F. Low-weight channel coding for interference mitigation in electromagnetic nanonetworks in the terahertz band: Proc. IEEE International Conference on Communications. Kyoto, Japan, 2011. P. 1–6.