Smart city sensing represents a pivotal paradigm shift in urban development, characterized by the infusion of cutting-edge technology to improve the quality of life in densely populated areas. At its essence, smart city sensing revolves around the deployment of sensors and data collection infrastructure throughout urban landscapes. The use of the collected data spans various domains, including environmental monitoring, transportation, energy management, and public safety. By continuously gathering and analyzing real-time data, smart cities gain unprecedented insights into their operations and the needs of their citizens. Unlocking the potential of smart cities, this talk presents effective solutions to leverage collected data to optimize the quality of the offered services. Specifically, this talk illuminates the innovative use of cellular data to analyze footfall and transportation modes, enabling precise localization and urban insights. By tracking citizens’ mobility profiles inferred from channel state information (CSI) measurements using efficient artificial intelligence (AI) tools, it reveals intricate pedestrian and transportation dynamics, informing optimal urban planning, crowd management, and resource allocation. Furthermore, the talk discusses effective solutions to enable the perpetual operation of IoT infrastructure and environmental monitoring sensors. Following an interdisciplinary methodology that combines experimental implementation and theoretical analysis, the use of 6G enablers such as unmanned aerial vehicles (UAVs) is investigated to optimize the data collection from the IoT sensors and minimize energy waste. Speaker(s): Tareq Al-Naffouri Room: RVR 3014, Bldg: Riverside Hall, 6000 J St, California State University, Sacramento, Sacramento, California, United States, 95819, Virtual: https://events.vtools.ieee.org/m/428331