# Optimizing the Quality of Service of Mobile Broadband Networks for a Dense Urban Environment
## 4 Results and Discussions
### Discussion of Results
Despite the commendable RSSI values obtained in Ikorodu and UNILAG, the degree of dispersion of the signal recorded en route to the area is also not encouraging. With a range of \(46.31\) dBm and \(51.05\) dBm for UNILAG and Ikorodu, respectively, it is clear that a user at the high receiving end will experience network quality that is greatly dwarfed by a user at the low end of the spectrum. Marred by missing values of about \(0.91\%\) to \(5.76\%\), the throughput (data rate) obtained is considered unreliable for making informed inferences. Furthermore, it became difficult to compute the standard deviation and variance of these KPIs without compromising the practicality of the data by using sophisticated algorithms such as the PCHIP to presumpuously fill in the missing data blocks. However, the data obtained was sufficient to monitor the signal speeds and download bits per second obtained at different distances from the base station. Since it is common to experience signal clusters in wireless communication services such as MBB networks where certain areas from the base transceiver station (BTS) have high signal strengths while other areas are marred with low signal coverage experience, Figures 8-13 shows how the various network KPIs are distributed at 50 block locations away from the base stations in the three areas. From Figure 8, it is clear that the signal clusters around about \(0.9\) km away from the BTS. With a sharp build-up, it can be said the MNO signal in Ikorodu has a wider spread and reaches most of the area. For Oniru VI, however, it indicates areas where it may be difficult to get reception despite a strong area of clustered network strengths elsewhere. Figure 9 helps visualize the distribution of the RSRQ values in Tables 2-4. The lean distribution in the RSRQ signal across the different areas confirms the strong variance values in Tables 2-4. Figures 8-13 overview how the different signals are distributed across the areas. From Figure 14, we can predict a \(0.07\) chance of finding a \(-90\) dBm RSRP value at any part of UNILAG. Though different values are true for Ikorodu, Oniru VI has a denser value range and there is a higher chance (\(0.2\)) of finding an RSRP signal value from \(-70\) dBm to \(-73\) dBm at any given part of Oniru. This is a very interesting analysis, as it shows us the possibility of establishing a near-consistent network reach. Despite being low, a \(0.2\) chance of obtaining the peak RSRP values in Oniru shows that when optimized, Oniru VI can experience a more uniform spread of the MBB strength. In contrast, the lower RSRP values quickly decrease in their respective availability, making it difficult to maintain such a spread. It is therefore important that the cause of the sharp network decline in the area be investigated and such problems addressed before the application of optimized network parameters. Unimpressive probabilities are also associated with the RSRQ of Oniru Island. While there is a near-unity probability prediction to get an RSRQ value of \(-9\) dB, it quickly becomes difficult to get lower or higher values, as the probability of getting any value declines sharply. From Figures 15-19, the trend of high signal values having high probabilities and lower or less common values having a sharp decline in availability is seen in Oniru VI, confirming a fundamental network planning problem in the area. Another culprit could be the size of missing data in the measured values. In general, our experimental design choice of maintaining the integrity of the measured data has been followed in earnest. This is why all plots and statistical analyses were done without filling in the missing data by use of appropriate algorithms. As seen in Figures 2-7, visual perception of the data confirms our informed guess from the statistical analysis. While the RSRP values in Oniru VI (green) seem to maintain a lower level of variance compared to the signals from UNILAG and Ikorodu, its values barely make it past the \(-65\) dBm values, which are considered unacceptable [17].