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An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks.

, , and . EuroNGI Workshop, volume 3883 of Lecture Notes in Computer Science, page 115-129. Springer, (2005)

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Performance Bounds for Mobile Cellular Networks with Handover Prediction., , and . MMNS, volume 3754 of Lecture Notes in Computer Science, page 35-46. Springer, (2005)Analysis of a Cellular Network with User Redials and Automatic Handover Retrials., , , , and . NEW2AN, volume 4712 of Lecture Notes in Computer Science, page 210-222. Springer, (2007)Deep reinforcement learning mechanism for dynamic access control in wireless networks handling mMTC., , , and . Ad Hoc Networks, (2019)Aggregation and conformance in differentiated service networks: a case study., and . Comput. Commun. Rev., 31 (1): 21-32 (2001)Resource management for Macrocell Users in hybrid access femtocells., , , and . GLOBECOM, page 1859-1864. IEEE, (2012)On the Accurate Performance Evaluation of the LTE-A Random Access Procedure., , , , and . GLOBECOM, page 1-7. IEEE, (2017)Optimality and sensitivity study of admission control policies for multimedia wireless networks., , and . MMSP, page 458-461. IEEE, (2004)Optimal admission control in cognitive radio networks., , and . CrownCom, page 1-7. IEEE, (2009)An analytical model to study the impact of time-varying cell capacity in LTE networks., , , , , and . WMNC, page 1-8. IEEE, (2011)A Hybrid Method for Obtaining the Distribution of Report Latency in Wireless Sensor Networks., , and . WMNC, page 9-15. IEEE, (2015)