Relationship Between Some Atmospheric and Long Time Evolution Variables on Signal Network Performance

Abstract

Wireless communications have significantly changed how people communicate with one another. As a result, despite the increased demand for mobile services, mobile network operators are now more concerned than ever with maintaining steady network performance. However, network operation is significantly influenced by atmospheric factors such as temperature and relative humidity, which can lead to call drop and Radio Resource Control failure. Investigating the connection between this two atmospheric parameters and Long Time Evolution network performance is the goal of this study. The study was conducted in Lokoja, the capital city of Kogi State, Nigeria. The city has a tropical savanna climate, characterized by high temperatures and humidity levels throughout the year. This study focused only on two atmospheric parameters (Temperature and Relative Humidity) and two LTE network performance (RRC and Call drop). This study used secondary data collection techniques and a quantitative research approach. The Nigerian Meteorological Agency (NIMET) office in Lokoja, Kogi State, provided the atmospheric data; the Globacom (GLO) office in Lokoja provided the cell report data for LTE in Lokoja. Assuming all other meteorological factors remain constant, it was observed that, Radio Resource Control has an inverse proportionality with temperature and relative humidity, whereas call drop is directly proportional to both. In terms of statistics, call drop and temperature had a positive correlation of 0.35493 and 0.63769, respectively, whereas Radio Resource Control and Temperature had a positive correlation of 0.37289 and 0.5756, respectively. When combined, these results showed that higher humidity and temperature promoted call drops and decreased Radio Resource Control success rates. In tropical areas like Lokoja, this research has given telecom operators and regulatory agencies valuable information to guarantee network dependability, improved resource allocation, environmental consideration, and service quality.