Research Article
Barometric Pressure Effect on 5G Channel Model Validated using Convolutional Codes
@INPROCEEDINGS{10.4108/eai.11-7-2019.2298020, author={Rahmattio Fa’is Baihaqi and Khoirul Anwar and Rina Pudji Astuti}, title={Barometric Pressure Effect on 5G Channel Model Validated using Convolutional Codes}, proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.}, publisher={EAI}, proceedings_a={ICONISTECH}, year={2021}, month={1}, keywords={5g-new radio channel model channel capacity outage performance}, doi={10.4108/eai.11-7-2019.2298020} }- Rahmattio Fa’is Baihaqi
Khoirul Anwar
Rina Pudji Astuti
Year: 2021
Barometric Pressure Effect on 5G Channel Model Validated using Convolutional Codes
ICONISTECH
EAI
DOI: 10.4108/eai.11-7-2019.2298020
Abstract
The fifth telecommunication generation New Radio (5G-NR) is intended to utilize the millimeter wave (mmWave) band, which is sensitive to the natural conditions. 5G-NR requires channel modeling for optimal implementation, particularly for deployment in Indonesia, where the effect of the tropical condition is probably high especially due to the barometric pressure effect. This paper proposes 5G-NR channel model considering natural parameters of Bandung and Palembang, especially in Telkom University (Tel-U) and Universitas Sriwijaya (UnSri) areas, and observes the barometric pressure effects. We evaluate the 5G channel model, where outage performance is validated by frame-error-rate (FER) and bit-error-rate (BER) performances of 5G-NR cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) numerology 2 with convolutional codes. The results show that lower barometric pressure affects on the increase of the number of path of 5G channel model. Outage performance and outage validation of 5G channel model in Tel-U and UnSri area has slightly different result due to barometric pressure effect.
