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Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks.

, , , , , and . WoWMoM, page 1-9. IEEE Computer Society, (2016)

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Deep Learning in Mobile and Wireless Networking: A Survey., , and . CoRR, (2018)802.11 Buffers: When Bigger Is Not Better?, , , and . WiFlex, volume 8072 of Lecture Notes in Computer Science, page 37-48. Springer, (2013)Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi., , , and . Ad Hoc Networks, (2016)A control theoretic scheme for efficient video transmission over IEEE 802.11e EDCA WLANs., , and . ACM Trans. Multim. Comput. Commun. Appl., 8 (3): 29:1-29:23 (2012)An Experimental Evaluation of MQTT Authentication and Authorization in IoT., , and . WiNTECH@MOBICOM, page 69-76. ACM, (2021)Control theoretic optimization of 802.11 WLANs: Implementation and experimental evaluation., , , , and . Comput. Networks, 57 (1): 258-272 (2013)Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction., , , and . GLOBECOM, page 1-6. IEEE, (2021)Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls., , , , and . MLN, volume 11407 of Lecture Notes in Computer Science, page 146-165. Springer, (2018)Adaptive Clustering-based Malicious Traffic Classification at the Network Edge., and . INFOCOM, page 1-10. IEEE, (2021)A modular, flexible and virtualizable framework for IEEE 802.11., , , , , , and . Future Network & Mobile Summit, page 1-8. IEEE, (2012)