Evaluation of QoE for Fixed wire-line Broadband Data Service in the case of Addis Ababa Enterprise Customers Ethiopia
| dc.contributor.advisor | Mesfin, Kifle (PhD) | |
| dc.contributor.author | Wallelign, Asfaw | |
| dc.date.accessioned | 2020-03-11T10:11:03Z | |
| dc.date.accessioned | 2023-11-04T15:13:15Z | |
| dc.date.available | 2020-03-11T10:11:03Z | |
| dc.date.available | 2023-11-04T15:13:15Z | |
| dc.date.issued | 2020-02-26 | |
| dc.description.abstract | Telecom operators should monitor the satisfaction level of their customers and the quality of their networks to take on-time network optimization, redesign and marketing, in general effective resource allocation decisions. Therefore, it is necessary to evaluate the impact of fixed wire-line broadband performances on the customers’ experience. QoE is an emerging technology, it has become an increasing research area. In this thesis, QoE is evaluated with objective and subjective methods. Most of earlier studies used subjective method to evaluate QoE, but the evaluation we used a combination of objective and subjective methods which give more realistic results. Moreover, the nobility of this thesis to the best of my knowledge is a unique combination of network quality metrics. It is based on download, upload speed and latency of QoE objective metrics which are collected from the customers’ end devices, using Testmy.net, ping-test.net tools. Furthermore, we formulate a survey questionnaire to evaluate user MOS. The evaluation result indicates user perception is not satisfactory during on-peak hours with MOS value of 2.88. Whereas the satisfaction of customers during off-peak hours is good with MOS value of 3.90. On the other hand, the objective fuzzy logic QoE output indicates 4.0 at offpeak hours and 2.67 on-peak hours. To summarize, off-peak hour’s satisfaction result is good (greater than 3.5) and on-peak hour’s satisfaction needs attention to improve the experience since our result shows less than the benchmark value of quality of experience 3.5. According to our analysis, the main problem is latency which does not fulfil ITU benchmark, but the upload and download speed fulfil Ofcom recommendation. The recommended solution to reduce latency especially during on-peak period is to implement a proxy cache server. This solution leads to reduce traffic volume more than 50% of inter-domain link, saves bandwidth of inter-domain link and handles more traffic without upgrading uplink capacity. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/21112 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | quality of service | en_US |
| dc.subject | quality of experience | en_US |
| dc.subject | fixed broadband | en_US |
| dc.subject | enterprise customer | en_US |
| dc.subject | download speed | en_US |
| dc.subject | upload speed | en_US |
| dc.subject | latency | en_US |
| dc.subject | mean opinion score fuzzy logic | en_US |
| dc.subject | quality metrics | en_US |
| dc.subject | subjective | en_US |
| dc.subject | objective | en_US |
| dc.title | Evaluation of QoE for Fixed wire-line Broadband Data Service in the case of Addis Ababa Enterprise Customers Ethiopia | en_US |
| dc.type | Thesis | en_US |