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Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning.

, , , , , и . GLOBECOM, стр. 4387-4393. IEEE, (2014)

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Dominik Kuonen

Albert Medard Kuonen

Pierre Gottschlich

Pierre Mattern

Pierre Mangold

 

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CASP: a community-aware scheduling protocol., , , и . Int. J. Grid Util. Comput., 2 (1): 11-24 (2011)ParoC++: Extending C++ to the Grid., и . GCA, стр. 177-183. CSREA Press, (2005)Integrating Wireless Sensor Networks and the Grid through POP-C++., , , и . IESS, том 231 из IFIP Advances in Information and Communication Technology, стр. 411-420. Springer, (2007)Scheduling policies based on dynamic throughput and fairness tradeoff control in LTE-A networks., , , , , и . LCN, стр. 418-421. IEEE Computer Society, (2014)A novel dynamic Q-learning-based scheduler technique for LTE-advanced technologies using neural networks., , , , и . LCN, стр. 332-335. IEEE Computer Society, (2012)An Object-Oriented Framework for Efficient Data Access in Data Intensive Computing., и . IPDPS, стр. 164. IEEE Computer Society, (2003)Meta-Alignment: Combining Sequence Aligners for Better Results., , и . IWBBIO (1), том 10813 из Lecture Notes in Computer Science, стр. 395-404. Springer, (2018)eGovSM Metadata Model: Towards a Flexible, Interoperable and Scalable eGovernment Service Marketplace., , , и . EEE, стр. 618-621. IEEE Computer Society, (2005)MaGate Simulator: A Simulation Environment for a Decentralized Grid Scheduler., , , , и . APPT, том 5737 из Lecture Notes in Computer Science, стр. 273-287. Springer, (2009)Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management., , , , , , и . IEEE Trans. Netw. Serv. Manag., 15 (4): 1661-1675 (2018)