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Throughput optimization of wireless LANs by surrogate model based cognitive decision making., , , , , , , , , и . WCNC Workshops, стр. 188-193. IEEE, (2015)Various Detection Techniques and Platforms for Monitoring Interference Condition in a Wireless Testbed., , , , , , и . FP7 FIRE/EULER, том 7586 из Lecture Notes in Computer Science, стр. 43-60. Springer, (2012)Wireless handover performance in industrial environments: A case study., , , , , , и . ETFA, стр. 1-4. IEEE, (2016)Multi-objective surrogate modeling for real-time energy-efficient station grouping in IEEE 802.11ah., , , , , и . Pervasive Mob. Comput., (2019)Demo: efficient multi-objective optimization of network problems on wireless testbeds., , и . MobiHoc, стр. 419-420. ACM, (2014)openwifi CSI fuzzer for authorized sensing and covert channels., , , , и . WISEC, стр. 377-379. ACM, (2021)IEEE 802.11ah Restricted Access Window Surrogate Model for Real-Time Station Grouping., , , , , и . WOWMOM, стр. 14-22. IEEE Computer Society, (2018)Analysis of large-scale experimental data from wireless networks., , , , , и . INFOCOM Workshops, стр. 535-540. IEEE, (2018)Surrogate modeling based cognitive decision engine for optimization of WLAN performance., , , , , , , , , и . Wireless Networks, 23 (8): 2347-2359 (2017)Throughput optimization strategies for large-scale wireless LANs., , , , , , , , и . BMSB, стр. 1-6. IEEE, (2015)