QoE Enhancement in Next Generation Wireless Ecosystems: A Machine Learning Approach

@article{Ibarrola2019QoEEI,
  title={QoE Enhancement in Next Generation Wireless Ecosystems: A Machine Learning Approach},
  author={Eva Ibarrola and Mark Davis and Camille Voisin and Ciara Close and Leire Cristobo},
  journal={IEEE Communications Standards Magazine},
  year={2019},
  volume={3},
  pages={63-70}
}
Next-generation wireless ecosystems are expected to comprise heterogeneous technologies and diverse deployment scenarios. Ensuring quality of service (QoS) will be one of the major challenges on account of a variety of factors that are beyond the control of network and service providers in these environments. In this context, ITU-T is working on defining new Recommendations related to QoS and users' quality of experience (QoE) for the 5G era. Considering the new ITU-T QoS framework, we propose… 

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