Toledo, Karel, Hector Kaschel, and Mauricio Rodriguez. 2024. "Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks" Drones 8, no. 10: 592. https://doi.org/10.3390/drones8100592

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Toledo K, Kaschel H, Rodriguez M. Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks. Drones. 2024; 8(10):592. https://doi.org/10.3390/drones8100592

Toledo, K.; Kaschel, H.; Rodriguez, M. Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks. Drones 2024, 8, 592. https://doi.org/10.3390/drones8100592

Toledo, K.; Kaschel, H.; Rodriguez, M. Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks. Drones 2024, 8, 592. https://doi.org/10.3390/drones8100592

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Abstract: The evolution of beyond fifth generation (B5G) wireless networks poses significant technical and economic challenges across urban, suburban, and rural areas, demanding increased capacity for users whose positions continually change. This study investigated the dynamic positioning of an unmanned aerial vehicle (UAV), acting as a mobile base station (MoBS) to enhance network efficiency and meet ground terminals (GTs) expectations for data rates, particularly in emergency scenarios or temporary events. While UAVs show great promise, existing research often assumes certainty in network architecture, overlooking the complexities of unpredictable user movements. We introduce a decision-making framework utilizing the ordered weighted averaging (OWA) operator to address uncertainties in GT locations, enabling the optimization of UAV trajectories to maximize the overall network data rate. An optimization problem is formulated by modeling GT dynamics through a Markov process and discretizing UAV movements while accounting for communication thresholds and movement constraints. Extensive simulations reveal that our approach significantly improves expected data rates by up to 48% compared to traditional fixed base stations (BSs) and predefined UAV movement patterns. This research underscores the potential of UAV-assisted networks to bolster communication reliability while effectively managing dynamic user movements to maintain optimal quality of service (QoS). Keywords: data rate; mobile agents; path planning; unmanned aerial vehicles; wireless networks

Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Toledo K, Kaschel H, Rodriguez M. Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks. Drones. 2024; 8(10):592. https://doi.org/10.3390/drones8100592

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Toledo, Karel, Hector Kaschel, and Mauricio Rodriguez. 2024. "Probabilistic Risk Assessment for Data Rate Maximization in Unmanned Aerial Vehicle-Assisted Wireless Networks" Drones 8, no. 10: 592. https://doi.org/10.3390/drones8100592

The world's water supply has dried up due to some sort of apocalypse. A beautiful woman holds the secret to where one of the last springs being guarded by a group of Amazons. A "Road Warrior" like crew captures her and tries to make her talk through brutal torture. The hero (Styrker) unites with some of the remaining "good guys" and the Amazons and frees the woman. They go on to a "Road Warrior" type of concluding battle with the bad guys.