Estimation of co-channel interference between cities caused by ducting and turbulence

doi:10.1088/1674-1056/ac339c

Abstract With the rapid development of the fifth-generation (5G) mobile communication technology, the application of each frequency band has reached the extreme, causing mutual interference between different modules. Hence, there is a requirement for detecting filtering and preventing interference. In the troposphere, over-the-horizon propagation occurs in atmospheric ducts and turbulent media. The effects of both ducting and turbulence can increase the probability of occurrence of long-distance co-channel interference (CCI), in turn, severely affecting the key performance indicators such as system access, handover and drop. In the 5G era, to ensure communication channels and information security, CCI must be reduced. This paper introduces a scattering parabolic equation algorithm for calculating signal propagation in atmospheric ducts on irregular terrain boundaries. It combines Hitney's radio physical optical model and Wagner's nonuniform turbulent scattering model for calculating the tropospheric scattering in an evaporation duct or a surface-based duct. The new model proposes a tropospheric scattering parabolic equation algorithm for various tropospheric duct environments. Finally, as a specific case, the topographical boundaries between several cities in the East China Plain were considered, and the over-the-horizon propagation loss was simulated for various ducting and turbulent environments. The simulation results were used to evaluate whether CCI would occur between cities in a specific environment.

Keywords: atmospheric duct tropospheric turbulence co-channel interference terrain parabolic equation

Received: 29 July 2021
Revised: 15 October 2021
Accepted manuscript online: 27 October 2021

PACS:	41.20.Jb	(Electromagnetic wave propagation; radiowave propagation)
	42.25.Dd	(Wave propagation in random media)
	42.25.Fx	(Diffraction and scattering)
	42.25.Gy	(Edge and boundary effects; reflection and refraction)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 62005205, 62071359, and 61775175) and Natural Science Basic Research Program of Shaanxi, China (Grant No. 2020JQ-331).

Corresponding Authors: Xing Guo
E-mail: guox@xidian.edu.cn

Cite this article:

Kai Yang(杨凯), Zhensen Wu(吴振森), Xing Guo(郭兴), Jiaji Wu(吴家骥), Yunhua Cao(曹运华), Tan Qu(屈檀), and Jiyu Xue(薛积禹) Estimation of co-channel interference between cities caused by ducting and turbulence 2022 Chin. Phys. B 31 024102

[1] Beilis A and Tappert F D 1977 J. Acoust. Soc. Am. 62 811
[2] Ayasli S 1986 IEEE T. Antenn. Propag. 34 1013
[3] Levy M F 1990 Electron. Lett. 26 1153
[4] Kuttler J R and Dockery G D 1991 Radio Sci. 26 381
[5] Barrios A E 1992 IEEE T. Antenn. Propag. 40 791
[6] Yuan X J and Lin W G 1993 Chin. Phys. Lett. 10 57
[7] Barrios A E 1994 IEEE T. Antenn. Propag. 42 90
[8] Donohue D J and Kuttler J R 2000 IEEE T. Antenn. Propag. 48 260
[9] Dadson C E, Durkin J and Martin R E 1975 IEEE T. Veh. Technol. 24 1
[10] Gosling W 1980 IEEE T. Veh. Technol. 29 361
[11] Gao S W and Wong K M 1995 Proceedings of 6th International Symposium on Personal, Indoor and Mobile Radio Communications, 27-29 September 1995, Toronto, ON, Canada, p. 86
[12] Li Y G and Sollenberger N R 1999 IEEE T. Commun. 47 217
[13] Kohno R and Hatori M 1983 Electr. Commun. in Jpn. (Part I:Communications) 66 20
[14] Li J, Liang Q and Manry M T 2004 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No. 04TH8754), 5-8 September 2004, Barcelona, Spain, p. 1302
[15] Zhang H and Dai H 2004 Eurasip. J. Wirel. Comm. 2004 1
[16] Beaulieu N C and Cheng J 2004 IEEE T. Commun. 52 149
[17] Qu J, Li X, Deng W and Liu G 2010 Telecommun. Sci. 26 152
[18] Gulati K, Evans B L, Andrews J G and Tinsley K R 2010 IEEE T. Signal. Proces. 58 6207
[19] Gupta S, Singh S P and Pandey V K 2013 3rd IEEE International Advance Computing Conference (IACC), 22-23 February 2013, Ghaziabad, India, p. 444
[20] Levy M 2000 Parabolic equation methods for electromagnetic wave propagation 1st edn. (London:The Institution of Engineering and Technology) pp. 42-45
[21] Bean B R and Dutton E J 1966 Radio Meteorology 1st edn. (New York:Dover Publications Inc.) pp. 4-10
[22] Feit M D and Fleck J A 1978 Appl. Opt. 17 3990
[23] Hitney H V 1993 IEEE T. Antenn. Propag. 41 905
[24] Gossard E E 1977 Radio Sci. 12 89
[25] Doviak R J, Rabin R M and Koscielny A J 1983 IEEE T. Geosci. Remote. GE-21 25
[26] Gerstoft P, Rogers L T, Krolik J L and Hodgkiss W S 2003 Radio Sci. 38 18
[27] Wagner M, Gerstoft P and Rogers T 2016 Radio Sci. 51 1876
[28] Gilbert K E, Di X, Khanna S, Otte M J and Wyngaard J C 1999 Radio Sci. 34 1413
[29] Gerstoft P, Gingras D F, Rogers L T and Hodgkiss W S 1998 IEEE T. Antenn. Propag. 48 345
[30] Ishimaru A 1978 Wave Propagation and Scattering in Random Media 1st edn. (New York:Acad. Press) pp. 336-393
[31] Rouseff D 2002 IEEE T. Antenn. Propag. 40 1076
[32] Yang K and Wu Z 2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE), 3-6 December 2018, Hangzhou, China, p. 1
[33] Patterson W L 2007 IEEE Radar Conference, 17-20 April 2007, Waltham, MA, USA, p. 891
[34] Guo Y X, Luk K M and Lee K F 2002 IEEE T. Antenn. Propag. 50 251
[35] Mak K, Wong H and Luk K 2007 IEEE Antenn. Wirel. Pr. 6 126

[1]	Anomalous propagation conditions of electromagnetic wave observed over Bosten Lake, China in July and August, 2014 Zheng Sun(孙正), Hui Ning(宁辉), Jing Tang(唐敬), Yong-Jie Xie(谢永杰), Peng-Fei Shi(石鹏飞), Jian-Hua Wang(王建华), Ke Wang(王柯). Chin. Phys. B, 2016, 25(2): 024101.
[2]	Estimation of lower refractivity uncertainty from radar sea clutter using Bayesian-MCMC method Sheng Zheng (盛峥). Chin. Phys. B, 2013, 22(2): 029302.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Metrics
Related Articles

Estimation of co-channel interference between cities caused by ducting and turbulence

Cite this article:

Online attention