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Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning.

, , , , , and . Wireless Days, page 1-8. IEEE, (2019)

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Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning., , , , , and . GLOBECOM, page 4387-4393. IEEE, (2014)Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning., , , , , and . Wireless Days, page 1-8. IEEE, (2019)Real-time data reconciliation solutions for big data problems observed in oil refineries., , , , , and . SIU, page 1612-1615. IEEE, (2014)Reinforcement learning based radio resource scheduling in LTE-advanced., , , , and . ICAC, page 219-224. IEEE, (2011)Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks., , , , , and . LCN, page 418-421. IEEE Computer Society, (2014)A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks., , , , and . LCN, page 332-335. IEEE Computer Society, (2012)A Comparison of Reinforcement Learning Algorithms in Fairness-Oriented OFDMA Schedulers., , , , , and . Information, 10 (10): 315 (2019)Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning., , , , and . IJDST, 3 (2): 39-57 (2012)A multi-agent based approach for change management in manufacturing enterprises., , and . J. Intelligent Manufacturing, 26 (5): 975-988 (2015)Getting Agile Methods to Work for Cordys Global Software Product Development., , and . Global Sourcing Workshop, volume 91 of Lecture Notes in Business Information Processing, page 133-152. Springer, (2011)