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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3152382
Abstract: Interference management is a key challenge for cellular-connected Internet of Drones (IoD) networks that employ multiple cellular-connected hovering drones for data acquisition in surveillance and monitoring applications. This article proposes a novel resource optimization framework…
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Keywords:
interference;
cellular connected;
drone pairing;
interference management ... See more keywords
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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3195320
Abstract: Unmanned aerial vehicles (UAVs) are an emerging technology in the 5G-and-beyond systems with the promise of assisting cellular communications and supporting IoT deployment in remote and density areas. Safe and secure navigation is essential for…
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Keywords:
gps spoofing;
deep ensemble;
ensemble learning;
spoofing detection ... See more keywords
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Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3588245
Abstract: Integrating full-duplex (FD) into cellular-connected uncrewed aerial vehicle (UAV) communications enables real-time bidirectional traffic applications, such as emergency rescue. In such applications, high-data-rate payloads are transmitted in the uplink (UL) (e.g., high definition videos are…
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Keywords:
control;
full duplex;
beamforming power;
power control ... See more keywords
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Published in 2022 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3195868
Abstract: Being a key technology for beyond fifth-generation wireless systems, joint communication and radar sensing (JCAS) utilizes the reflections of communication signals to detect foreign objects and deliver situational awareness. A cellular-connected unmanned aerial vehicle (UAV)…
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Keywords:
cellular connected;
trajectory planning;
communication;
radar sensing ... See more keywords
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Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3532276
Abstract: Cellular-connected Unmanned Aerial Vehicles (UAVs) have significant potential for target tracking in future cellular networks due to their broad coverage and operational flexibility. In this paper, we consider a multi-cell cellular network with a cellular-connected…
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Keywords:
energy;
target tracking;
connected uav;
cellular connected ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3123826
Abstract: This paper studies the performance of base station (BS) cooperation for the downlink transmission of an unmanned aerial vehicle (UAV) in a cellular-connected UAV network. Performance models are derived for investigating the downlink transmission performance…
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Keywords:
base station;
station cooperation;
cooperation;
cellular connected ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3169450
Abstract: Providing seamless connectivity to unmanned aerial vehicle user equipment (UAV-UE) is very challenging due to the encountered line-of-sight interference and reduced gains of down-tilted base station (BS) antennas. For instance, as the altitude of UAV-UEs…
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Keywords:
practical antenna;
handover;
performance;
cellular connected ... See more keywords
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Published in 2019 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2019.2900035
Abstract: In this paper, an interference-aware path planning scheme for a network of cellular-connected unmanned aerial vehicles (UAVs) is proposed. In particular, each UAV aims at achieving a tradeoff between maximizing energy efficiency and minimizing both…
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Keywords:
cellular connected;
reinforcement learning;
deep reinforcement;
path ... See more keywords
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Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3142018
Abstract: Cellular-connected unmanned aerial vehicles (UAVs) are expected to become integral components of future cellular networks. To this end, one of the important problems to address is how to support energy-efficient UAV operation while maintaining reliable…
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Keywords:
reinforcement learning;
deep reinforcement;
energy;
cellular connected ... See more keywords