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The 5G!Drones paper entitled “On using Deep Reinforcement Learning to reduce Uplink Latency for uRLLC services” by Karim Boutiba, Miloud Bagaa, Adlen Ksentini was accepted at IEEE Globecom’22, Rio De Janeiro, Brazil, December 2022. Read more “5G!Drones publication at IEEE Globecom 2022”
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The 5G!Drones paper entitled “Availability and Latency Aware Deployment of Cloud Native edge Slices” by Sagar Arora, Adlen Ksentini, Christian Bonnet was accepted at IEEE Globecom’22, Rio De Janeiro, Brazil, December 2022. Read more “5G!Drones paper at IEEE Globecom 2022”
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The 5G!Drones paper entitled “Ahead-Me Coverage (AMC): On Maintaining Enhanced Mobile Network Coverage for UAVs” by H. Hellaoui, B. Yang, T. Taleb, and J. Manner was accepted at IEEE Globecom’22, Rio De Janeiro, Brazil, December 2022. Read more “5G!Drones at IEEE Globecom 2022”
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A 5G!Drones paper of Y. Dang, C. Benzaid, B. Yang, T. Taleb, and Y. Shen entitled “Deep Ensemble Learning based GPS Spoofing Detection for Cellular-Connected UAVs” was accepted for publication at IEEE IoT journal. 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. Read more “5G!Drones at IEEE IoT journal”
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The 5G!Drones paper entitled “Seamless Replacement of UAV-BSs Providing Connectivity to the IoT” by H. Hellaoui, B. Yang, T. Taleb, and J. Manner was accepted at IEEE Globecom’22, Rio De Janeiro, Brazil, December 2022. Read more “5G!Drones paper at IEEE Globecom’22”
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The Eurecom team has a bew paper accepted at LCN 2022, 47th Annual IEEE Conference on Local Computer Networks, Edmonton, Canada, 26-28 September 2022. This paper is accompanied also by the corresponding dataset, also made available online by Eurecom at its zenodo account. Read more “5G!Drones paper at IEEE LCN 2022”
Publications
5G!Drones journal paper published in IEEE Transactions on Mobile Computing, 10 March 2022. Paper details: Marceau Coupechoux, Jerome Darbon, Jean-Marc Kelif, Marc Sigelle, Optimal Trajectories of a UAV Base Station Using Hamilton-Jacobi Equations, IEEE Transactions on Mobile Computing, 10 March 2022. Read more “5G!Drones IEEE paper”
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A new 5G!Drones journal paper has been published. Chaalal, S. -M. Senouci and L. Reynaud, A New Framework for Multi-Hop ABS-Assisted 5G-Networks With Users’ Mobility Prediction, in IEEE Transactions on Vehicular Technology, vol. 71, no. 4, pp. 4412-4427, April 2022. Read more “5G!Drones IEEE paper”
Conference
5G!Drones paper has been accepted to the 5G-PINE workshop, AIAI 2022 conference (17-20 June 2022). In specific 5G!Drones authors Lechosław Tomaszewski, Robert Kołakowski, Mirosław Zagórda submitted the workshop paper entitled “Application of mobile networks (5G and beyond) in precision agriculture” to 5G-PINE workshop in AIAI 2022 conference (17-20 June 2022). Read more “5G!Drones paper in AIAI 2022 conference”
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The following 5G!Drones conference paper has been published at IEEE Open Journal of the Communications Society. Journal paper details: Bouziane Brik, Karim Boutiba, Adlen Ksentini, Deep Learning for B5G Open Radio Access Network: Evolution, Survey, Case Studies, and Challenges, IEEE Open Journal of the Communications Society, 28 Jan 2022. DOI: 10.1109/OJCOMS.2022.3146618.
You may access and download the paper at https://ieeexplore.ieee.org/document/9695955