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Sample Size Determination Algorithm for fingerprint-based indoor localization systems., , , , и . Comput. Networks, (2016)Demo: Physical and Network Layer Interconnection Module for Realistic Planning of IoT Sensor Networks., , , , и . EWSN, стр. 201-202. Junction Publishing, Canada/ ACM, (2018)Coalition Formation Games for Coordinated Service in Realistic Small Cell Propagation Topologies., , , , , и . IEEE Access, (2020)Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)., , , , , , и . Sensors, 20 (19): 5495 (2020)3D Ray Tracing for device-independent fingerprint-based positioning in WLANs., , , , , и . WPNC, стр. 109-113. IEEE, (2012)A binomial distribution approach for the evaluation of indoor positioning systems., , , , и . ICT, стр. 1-4. IEEE, (2013)Quality of fingerprint radiomaps for positioning systems., , , и . ICT, стр. 1-5. IEEE, (2017)Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization., , , и . Sensors, 17 (4): 812 (2017)SDN-Sim: Integrating a System-Level Simulator with a Software Defined Network., , , , , , , и . IEEE Commun. Stand. Mag., 4 (1): 18-25 (2020)On the Realistic Radio and Network Planning of IoT Sensor Networks., , , , , и . Sensors, 19 (15): 3264 (2019)