Artificial Intelligence Paradigm for Customer Experience Management in Next-Generation Networks: Challenges and Perspectives
暂无分享,去创建一个
[1] John D. Worth,et al. A Modern Approach , 2005 .
[2] Nirwan Ansari,et al. On assuring end-to-end QoE in next generation networks: challenges and a possible solution , 2011, IEEE Communications Magazine.
[3] F. Richard Yu,et al. On QoE monitoring and E2E service assurance in 4G wireless networks , 2012, IEEE Wireless Communications.
[4] Javier Lorca,et al. Towards a QoE-Driven Resource Control in LTE and LTE-A Networks , 2013, J. Comput. Networks Commun..
[5] Muhammad Ali Imran,et al. Challenges in 5G: how to empower SON with big data for enabling 5G , 2014, IEEE Network.
[6] Jeffrey J. Spiess,et al. Using Big Data to Improve Customer Experience and Business Performance , 2014, Bell Labs Tech. J..
[7] Lazaros F. Merakos,et al. Quality of experience management in mobile cellular networks: key issues and design challenges , 2015, IEEE Communications Magazine.
[8] Cheng-Xiang Wang,et al. 5G Ultra-Dense Cellular Networks , 2015, IEEE Wireless Communications.
[9] Sebastian Möller,et al. QoE beyond the MOS: an in-depth look at QoE via better metrics and their relation to MOS , 2016, Quality and User Experience.
[10] Faqir Zarrar Yousaf,et al. Network slicing with flexible mobility and QoS/QoE support for 5G Networks , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).
[11] Jialiang Liu,et al. Inclusion of artificial intelligence in communication networks and services , 2017 .
[12] Haris Gacanin,et al. Self-Deployment of Future Indoor Wi-Fi Networks: An Artificial Intelligence Approach , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.
[13] Haris Gacanin,et al. Quality of Experience Inference for Video Services in Home WiFi Networks , 2018, IEEE Communications Magazine.