TY - JOUR
T1 - The Impact of Real Traffic from Twitter for 5G Network Deployment
AU - Hikmaturokhman, Alfin
AU - Ramli, Kalamullah
AU - Suryanegara, Muhammad
AU - Mardian, Raden Deiny
AU - Baharsyah, Amir Musa
AU - Amanaf, Muntaqo Alfin
AU - Abdi, Muhammad
AU - Wijayanti, Yuyun Dwi
N1 - Funding Information:
ACKNOWLEDGMENT The Doctoral Dissertation Research partly funded this research, Ministry of Research and Technology/National Research and Innovation Agency for Fiscal Year 2022 under contract number 275 NKB-1011/UN2.RST/HKP.05.00/2022.
Publisher Copyright:
© IJASEIT is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
PY - 2023
Y1 - 2023
N2 - The utilization of technology, particularly cellular networks, is continuously expanding. This is evident through the increasing number of mobile network operators (MNOs) users, especially in the current era where most things are accomplished online. Consequently, mobile network operators must furnish a comprehensive array of cellular network access services, not just for smartphones but also for other smart devices, to guarantee maximum coverage. With the growing interest in 5G deployment based on low band and millimeter wave communication (mm Wave) for outdoor use scenarios, such as tourist destinations, site design experts are looking for sophisticated real-time traffic data from social media like Twitter to simulate and calculate outdoor radio coverage using 3GPP 38.901 prediction models. This study used the frequencies of 700 MHz and 26 GHz, utilizing Inter-band Carrier Aggregation (CA) to increase data rates while maintaining a wide range and optimizing the number of gNodeBs. This research is intended to monitor the Borobudur Temple area, Indonesia, which serves as a tourist destination and one of the world's wonders, thus making it a densely populated area and inevitably requiring good network connectivity. The parameters used are Synchronization Signal Reference Signal Received Power (SS-RSRP), Synchronization Signal to Interference plus Noise Ratio (SS-SINR) and data rate. The simulation revealed that CA SS-RSRP with traffic map increased by 38.88%, SS-SINR increased by 45.05%, and the peak data rate increased from 5884.12 Mbps to 6199.88 Mbps.
AB - The utilization of technology, particularly cellular networks, is continuously expanding. This is evident through the increasing number of mobile network operators (MNOs) users, especially in the current era where most things are accomplished online. Consequently, mobile network operators must furnish a comprehensive array of cellular network access services, not just for smartphones but also for other smart devices, to guarantee maximum coverage. With the growing interest in 5G deployment based on low band and millimeter wave communication (mm Wave) for outdoor use scenarios, such as tourist destinations, site design experts are looking for sophisticated real-time traffic data from social media like Twitter to simulate and calculate outdoor radio coverage using 3GPP 38.901 prediction models. This study used the frequencies of 700 MHz and 26 GHz, utilizing Inter-band Carrier Aggregation (CA) to increase data rates while maintaining a wide range and optimizing the number of gNodeBs. This research is intended to monitor the Borobudur Temple area, Indonesia, which serves as a tourist destination and one of the world's wonders, thus making it a densely populated area and inevitably requiring good network connectivity. The parameters used are Synchronization Signal Reference Signal Received Power (SS-RSRP), Synchronization Signal to Interference plus Noise Ratio (SS-SINR) and data rate. The simulation revealed that CA SS-RSRP with traffic map increased by 38.88%, SS-SINR increased by 45.05%, and the peak data rate increased from 5884.12 Mbps to 6199.88 Mbps.
KW - 26 GHz
KW - 5G NR planning
KW - 700 MHz
KW - inter-band carrier aggregation
KW - Twitter social media
UR - http://www.scopus.com/inward/record.url?scp=85158871309&partnerID=8YFLogxK
U2 - 10.18517/ijaseit.13.2.18294
DO - 10.18517/ijaseit.13.2.18294
M3 - Article
AN - SCOPUS:85158871309
SN - 2088-5334
VL - 13
SP - 801
EP - 808
JO - International Journal on Advanced Science, Engineering and Information Technology
JF - International Journal on Advanced Science, Engineering and Information Technology
IS - 2
ER -