ICIST 2019 Conference

Performance of 5G Under Semarang Channel Model
Eni Dwi Wardihani*, Hany Windri Astuti, Eddy Triyono, Ilham Sayekti , Amin Suharjono

Telecommunications Engineering, Department of Electrical Engineering
Politeknik Negeri Semarang
Jl. Prof. H. Soedharto, S.H., Tembalang, Semarang 50275, Indonesia
*edwardihani[at]polines.ac.id


Abstract

Industrial revolution 4.0 is the reason for 5G-NR network to support the Twenty-Twenty Society internet needs. However, the optimal parameters of 5G are not yet known for Indonesia. This research proposed 5G channel model under Semarang City, Indonesia weather parameters with data sources from Indonesia official department of Meteorological, Climatological and Geophysical (BMKG Station) and through sensors measurement. The method used channel modelling experiments with OFDM numerology of 3, bandwidth of 100 MHz, frequency of 28 GHz and was performed un-coded with the value of Rate is 1. The experiment used three criteria, those are very heavy rain, moderate rain and no rain. The results of channel modelling generated the channel that can work. The performance of the channel resulted outage probability value which is validated using Frame Error Rate (FER). The results show outage probability upon the data from Indonesia official department of Meteorological, Climatological and Geophysical (BMKG Station) for very heavy rain, moderate and no rain in 10^{-5} value with power of 18.3 dB, 18.2 dB and 18.27 dB respectively, while the results of the FER validation obtain 10^{-1} with power 22.2 dB, 22.2 dB and 22.1 dB respectively. The sensor data obtain outage probability of 10^{-3} with the power of 13.283 dB, 10-3 with power of 29.67 dB, 10^{-5} with the power of 19.88 dB, and their FER validation show a value of 10^{-1} with the power value of 22.1 dB, 22.5 dB and 22.1 dB respectively.

Keywords: Channel model, 5G, OFDM numerology, Semarang, performance

Topic: Electrical Engineering and Computer Science

Link: https://ifory.id/abstract-plain/9mMkFPgb4CJA

Web Format | Corresponding Author (eni wardihani)