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Single-state Q-learning for self-organised radio resource management in dual-hop 5G high capacity density networks.

, , , , and . Trans. Emerg. Telecommun. Technol., 27 (12): 1628-1640 (2016)

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An extension to output-feedback eigenstructure assignment: Structuring controllers by exploiting unused design freedom., and . Int. J. Control, 82 (2): 207-216 (2009)Distributed Q-learning based dynamic spectrum access in high capacity density cognitive cellular systems using secondary LTE spectrum sharing., , and . WPMC, page 462-467. IEEE, (2014)Multichannel non-persistent CSMA MAC schemes with reinforcement learning for cognitive radio networks., , , and . ISCIT, page 502-506. IEEE, (2011)Transfer learning and cooperation management: balancing the quality of service and information exchange overhead in cognitive radio networks., , and . Trans. Emerg. Telecommun. Technol., 26 (2): 290-301 (2015)Intelligent Dynamic Spectrum Access in Cellular Systems with Asymmetric Topologies and Non-Uniform Traffic Loads., , and . VTC Fall, page 1-2. IEEE, (2015)A Lymphocyte-Cytokine Network Inspired Algorithm for Data Analysis., , and . ICARIS, volume 6825 of Lecture Notes in Computer Science, page 187-197. Springer, (2011)Increasing eigenstructure assignment design degree of freedom using lifting., , and . Int. J. Control, 90 (10): 2111-2123 (2017)Distributed Heuristically Accelerated Q-Learning for Robust Cognitive Spectrum Management in LTE Cellular Systems., , and . IEEE Trans. Mob. Comput., 15 (4): 817-825 (2016)Heuristically Accelerated Reinforcement Learning for Dynamic Secondary Spectrum Sharing., , and . IEEE Access, (2015)Observer/Kalman Filter Identification With Wavelets., and . IEEE Trans. Signal Process., 60 (7): 3476-3485 (2012)