A Generative Adversarial Learning-Based Approach for Cell Outage Detection in Self-Organizing Cellular Networks
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[1] Muhammad Ali Imran,et al. A Cell Outage Management Framework for Dense Heterogeneous Networks , 2016, IEEE Transactions on Vehicular Technology.
[2] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[3] Muhammad Ali Imran,et al. A Survey of Self Organisation in Future Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.
[4] Muhammad Ali Imran,et al. Cell Coverage Degradation Detection Using Deep Learning Techniques , 2018, 2018 International Conference on Information and Communication Technology Convergence (ICTC).
[5] Nitesh V. Chawla,et al. SMOTEBoost: Improving Prediction of the Minority Class in Boosting , 2003, PKDD.
[6] Seetha Hari,et al. Learning From Imbalanced Data , 2019, Advances in Computer and Electrical Engineering.
[7] Mengyun Sun,et al. An Ensemble Learning Approach for Fault Diagnosis in Self-Organizing Heterogeneous Networks , 2019, IEEE Access.
[8] Ali Imran,et al. Self-Healing in Emerging Cellular Networks: Review, Challenges, and Research Directions , 2018, IEEE Communications Surveys & Tutorials.
[9] Antonio Pescapè,et al. Multi-classification approaches for classifying mobile app traffic , 2018, J. Netw. Comput. Appl..
[10] Giuseppe Aceto,et al. Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web) , 2020, IEEE Transactions on Dependable and Secure Computing.
[11] Tao Zhang,et al. Self-Organized Cell Outage Detection Architecture and Approach for 5G H-CRAN , 2018, Wirel. Commun. Mob. Comput..