Abstract | ||
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In this paper, we present our novel platform called Bo_CEM. It is composed of three levels: QoE Data Sources, QoE Monitoring System, and QoE Management System. The QoE Data Sources is an umbrella retrieving information from all sources. The monitoring systems are based on fuzzy logic in order to design a novel unique value called QoE score which is our main contribution as it uses customer profile indicators in addition to network KPIs. Finally, the QoE Management System is a high level of decision using the QoE Score as decision metric. The utility of the model is validated via three cases: The first one consists on the enhancement of the troubleshooting prioritization process for NOC Teams. The use of our new approach leads to increasing the operator's profit while customers still satisfied by the expected QoS. The second used case presents a new approach for SON Mobility Load Balancing. It allows the enhancement of the traffic load over network and increases the average QoE_score per e-NodeB. In the last case, our novel metric called QoE_Score is used to evaluate the QoE perceived by Wi-Fi customers in order to alleviate the LTE-A network and route traffic to Wi-Fi network. |
Year | DOI | Venue |
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2020 | 10.1002/dac.4231 | INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS |
Keywords | Field | DocType |
CEM, HetNets, LTE-A, QoE, SOC, Wi-FI | Computer architecture,Computer science,Computer network,LTE Advanced | Journal |
Volume | Issue | ISSN |
33 | 4 | 1074-5351 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nabil Torjemen | 1 | 2 | 1.73 |
Nabil Tabbane | 2 | 86 | 18.70 |