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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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A survey on MAC protocols for complex self-organizing cognitive radio networks., , , , and . Complex Adapt. Syst. Model., (2016)Relia-MAC: Timely and Reliable Communication for Safety Critical Applications of VANET., , and . ICAC, page 1-6. IEEE, (2019)Adaptive proportional fair parameterization based LTE scheduling using continuous actor-critic reinforcement learning., , , , , and . GLOBECOM, page 4387-4393. IEEE, (2014)RECMAC: Reliable and efficient cooperative cross-layer MAC scheme for vehicular communication based on random network coding technique., , , , and . ICAC, page 342-347. IEEE, (2016)Enhancing User Fairness in OFDMA Radio Access Networks Through Machine Learning., , , , , and . Wireless Days, page 1-8. IEEE, (2019)Testing the Feasibility of Synchronous Bandwidth Allocation for Time-Critical Communication in FDDI Networks., , , , and . ICCCN, page 326-331. IEEE Computer Society, (1997)n the Schedulability of Synchronous Message Sets with the Minimum Message Deadline Less than 2*TTRT in an FDDI Network., and . ICCCN, page 498. IEEE Computer Society, (1995)Network coding for reliable safety message communication in vehicular Ad-Hoc networks: a review., , and . FGCT, page 1-6. IEEE, (2015)Design Optimization of Resource Allocation in OFDMA-based Cognitive Radio-enabled Internet of Vehicles (IoVs)*., , , and . ICAC, page 1-8. IEEE, (2019)Optimization of Real-Time Transmission Reliability on Wireless Industrial Automation Networks., and . ICAC, page 1-6. IEEE, (2018)