Outage Performances of 5G Channel Model Influenced by Barometric Pressure Effects in Yogyakarta

Main Article Content

Solichah Larasati
Serli Ridho Yuliani
Achmad Rizal Danisya


The need of using telecommunications networks is driving develop to increasing a cellular technology. Cellular technology has reached the fifth-generation (5G) which is expected to be launched in 2020. 5G technology is predicted to use high frequencies, where high frequencies present a new challenge namely wave propagation attenuation problems that are affected by natural conditions such as barometric pressure, rain rate, humadity, and vegetation density. Differences from the shape of the earth's contours and natural conditions in each region require research to find the most appropriate channel model to be used in the region.The channel model is obtained based on the representative value of Power Delay Profile (PDP) simulation resul ts using the NYUSIM channel simulator. The frequency used is 28 GHz with a scenario under the influence of minimum and maximum barometric using environment parameters based on the city of Yogyakarta. PDP value is used to calculate the outage probability of channel capacity (C) is smaller than the coding rate (R) so that it indicates a failure of detection at the receiver based on the shannon theory. Outage probability is obtained by the cumulative distribution function of the capacity evaluated against the coding rate. Outage probability result in both scenarios are able to reach a point of 10-4, for coding rate ½ it needs 17.649883 dB, for coding rate ¾ it needs 20.020953 dB, dan coding rate 1 it needs 22 dB. This shows that barometric does not significantly influence the performance of the 5G communication system.


Download data is not yet available.

Article Details

How to Cite
S. Larasati, S. R. Yuliani, and A. R. Danisya, “Outage Performances of 5G Channel Model Influenced by Barometric Pressure Effects in Yogyakarta”, INFOTEL, vol. 12, no. 1, Apr. 2020.


[1] E. Wijanto, “Analysis Of Technology Readiness For The Implementation of Fifth Generation (5G) Telecomunications Technology,” vol. 06, no. 23, p. 13, 2017.
[2] A. F. S. Admaja, “Kajian Awal 5G Indonesia (5G Indonesia Early Preview),” Bul. Pos Dan Telekomun., vol. 13, no. 2, p. 97, Dec. 2015, doi: 10.17933/bpostel.2015.130201.
[3] H. Mehta, D. Patel, B. Joshi, and H. Modi, “0G to 5G Mobile Technology: A Survey,” vol. 1, no. 6, p. 6, 2014.
[4] “IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond,” p. 21.
[5] T. A. Nugraha and A. Hikmaturokhman, “Simulasi Penggunaan Frekuensi Milimeter Wave Untuk Akses Komunikasi Jaringn 5G Indoor,” p. 7, 2017.
[6] K. Haneda et al., “5G 3GPP-Like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments,” in 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), Nanjing, 2016, pp. 1–7, doi: 10.1109/VTCSpring.2016.7503971
[7] GSMA, “Road-to-5G-Introduction-and-Migration_FINAL,” p. 54, Apr. 2018.
[8] S. J. Dudzinsky, “Atmospheric Effects on Terrestrial Millimeter-Wave Communications,” in 4th European Microwave Conference, 1974, Montreux, Switzerland, 1974, pp. 197–201, doi: 10.1109/EUMA.1974.332040
[9] A. Goldsmith, Wireless Communications. Stanford University, 2005.
[10] E. M. Alfaroby, N. M. Adriansyah, and K. Anwar, “Study on channel model for Indonesia 5G networks,” in 2018 International Conference on Signals and Systems (ICSigSys), Bali, 2018, pp. 125–130, doi: 10.1109/ICSIGSYS.2018.8372650
[11] A. Hikmaturokhman, “Analisis Perbandingan 5G Channel Model Jakarta dan Outage Probability dengan Pengaruh Redaman Hujan,” p. 70, 2019.
[12] K. Anwar, E. Christy, and R. P. Astuti, “Indonesia 5G Channel Model Under Foliage Effect [Model Kanal 5G Indonesia dengan Pengaruh Dedaunan],” Bul. Pos Dan Telekomun., vol. 17, no. 2, p. 75, Dec. 2019, doi: 10.17933/bpostel.2019.170201.