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A study on 5G performance and fast conditional handover for public transit systems., , and . Comput. Commun., (September 2023)Why energy matters? Profiling energy consumption of mobile crowdsensing data collection frameworks., , , , , and . Pervasive Mob. Comput., (2018)openLEON: An end-to-end emulation platform from the edge data center to the mobile user, , , , , and . Comput. Commun., (2019)On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey, , and . J. Syst. Archit., (2021)Scaling Millimeter-Wave Networks to Dense Deployments and Dynamic Environments, , , and . Proc. IEEE, 107 (4): 732--745 (2019)An In-Depth Analysis of Advanced Time Series Forecasting Models for the Open RAN., , , and . INFOCOM (Workshops), page 1-6. IEEE, (2024)AIChronoLens: Advancing Explainability for Time Series AI Forecasting in Mobile Networks., , , , , and . INFOCOM, page 1521-1530. IEEE, (2024)A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities, , , , , and . IEEE Commun. Surv. Tutorials, 21 (3): 2419--2465 (2019)Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing, , , , and . IEEE Access, (2019)A mobility-based deployment strategy for edge data centers, , , , , and . J. Parallel Distributed Comput., (2022)