## 4 Assessment
### Service KQIs  
Firstly, an evaluation of the performance parameters (i.e., KQIs) for each of the services tested in the experiments has been carried out. The purpose was to test whether there was a substantial difference in behavior or characterization of behavior before/during/after each event. To this end, experimental cumulative probability distribution functions (CDF) have been obtained by filtering two hours before, during the match (approximately two hours) and two hours after. The performances of the FTP service for 1 and 10 MB file size, including the end-user throughput and the setup time, are presented in Figure 3.  
A clear differentiation can be inferred in each of these time intervals that presents small variations depending on the operator. Additionally, it can be observed from the figures that there were distinct behaviors for the two operators. Notably, for operator A, the phases of the match are easily distinguished, while operator B shows more consistent performance. Notwithstanding, it can be inferred that generally, after the game, the FTP service performs better. This fact might be due to people arriving early to the game and leaving right after the game often. Thus it was observed that the network remained loaded before and during the game. Regarding the second KQI of the FTP service (i.e., the setup time), the corresponding CDFs are shown in Figure 4, for each node and operator logged in the second campaign. In these, it can be seen that the distinction of the different phases of the match is not clear. However, according to previous studies, this result is expected because it depends more on variables related to the processing capacity than on the state of the radio network. Figure 3: CDF of FTP throughput behavior before/during/after the match. Concerning the NetTest speed test experiment Figure 5, there was also a clear difference in performance, although in this case, the download and upload patterns were different. Such phenomena can be explained by the types of applications typically employed by users connected to the same base station and their demand for resources. As was the case with FTP, we can observe the pattern of behavior of users loading the cell in terms of download capacity before and during the match with greater intensity than after in almost all cases. That is the case, for example, for the node 371 operator A interface where the performance after the event is better in downloading, unlike uploading where the best result is obtained before the event. In the case of a web service (which includes Flicker, Twitter, Google, Twitter, Etsy, mall, eBay, Facebook, LinkedIn, Instagram, the guardian, stack overflow, Reddit, Yelp, Wikipedia or Microsoft pages), it can be seen from the CDF representations that it is not possible to clearly distinguish each of the phases shown in Figure 6. In addition, the behavior between operators cannot be characterized either. This could be explained in part by the asynchronous nature of the service and considering the performances of different web pages. Thus, in order to have a more accurate view, it is necessary to filter a specific site (i.e., Wikipedia), as shown in the Figure 7. According to this graph, although the separation between the time phases is somewhat better appreciated, it is not possible to determine consistent patterns, with results being different for each node. In this case it is easier to see a stage differentiation, thereby confirming the previous hypothesis about the consistency of the data. It can be established that in order to obtain an adequate pattern it is necessary to test by comparing a single site and if possible obtained from the same server. Figure 4: CDF of FTP setup time behavior before/during/after the match. Figure 5: CDF of NetTest throughput behavior before/during/after the match; the upper row corresponds to uploading and lower to downloading.