Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Jimmy Jessen Nielsen"'
Autor:
Nithin Babu, Igor Donevski, Alvaro Valcarce, Petar Popovski, Jimmy Jessen Nielsen, Constantinos B. Papadias
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 3, Pp 1487-1500 (2022)
In this work, we optimize the 3D trajectory of an unmanned aerial vehicle (UAV)-based portable access point (PAP) that provides wireless services to a set of ground nodes (GNs). Moreover, as per the Peukert effect, we consider pragmatic non-linear ba
Externí odkaz:
https://doaj.org/article/1b3a36ab37484c378e62ebff3d1c3113
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 2, Pp 1000-1014 (2021)
In this paper, we investigate the problem of scheduling transmissions for spatially scattered nodes that contribute to a collaborative federated learning (FL) algorithm via wireless links provided by a drone. In the considered system, the drone acts
Externí odkaz:
https://doaj.org/article/bb6371a5a84b4e9fba679862510bb1c0
Publikováno v:
Frontiers in Communications and Networks, Vol 2 (2021)
Modern communication devices are often equipped with multiple wireless communication interfaces with diverse characteristics. This enables exploiting a form of multi-connectivity known as interface diversity to provide path diversity with multiple co
Externí odkaz:
https://doaj.org/article/ba8d9a4722c344b7b2b25e44a105763d
Publikováno v:
Frontiers in Communications and Networks, Vol 2 (2021)
In this paper we envision a federated learning (FL) scenario in service of amending the performance of autonomous road vehicles, through a drone traffic monitor (DTM), that also acts as an orchestrator. Expecting non-IID data distribution, we focus o
Externí odkaz:
https://doaj.org/article/25ddeba9de0a4df1848914a7a219f90c
Autor:
Nithin Babu, Igor Donevski, Alvaro Valcarce, Petar Popovski, Jimmy Jessen Nielsen, Constantinos B. Papadias
Publikováno v:
Babu, N, Donevski, I, Valcarce, A, Popovski, P, Nielsen, J J & Papadias, C 2022, ' Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point : A Deep Reinforcement Learning Approach ', IEEE Open Journal of the Communications Society, vol. 3, pp. 1487-1500 . https://doi.org/10.1109/OJCOMS.2022.3201292
In this work, we optimize the 3D trajectory of an unmanned aerial vehicle (UAV)-based portable access point (PAP) that provides wireless services to a set of ground nodes (GNs). Moreover, as per the Peukert effect, we consider pragmatic non-linear ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b61bcdfed035a8350dabd395a479cd8
https://doi.org/10.36227/techrxiv.20445267
https://doi.org/10.36227/techrxiv.20445267
Publikováno v:
Shahbazi, A, Donevski, I, Nielsen, J J & Di Renzo, M 2022, Federated Reinforcement Learning UAV Trajectory Design for Fast Localization of Ground Users . in 2022 30th European Signal Processing Conference (EUSIPCO) ., 9909614, IEEE, European Signal Processing Conference, vol. 2022-August, pp. 663-666, 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, 29/08/2022 . https://doi.org/10.23919/EUSIPCO55093.2022.9909614
In this paper, we study the localization of ground users by utilizing unmanned aerial vehicles (UAVs) as aerial anchors. Specifically, we introduce a novel localization framework based on Federated Learning (FL) and Reinforcement Learning (RL). In co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cd752bea4bf941d92054da3f3974574
https://vbn.aau.dk/da/publications/c06bbfe6-5a70-4622-bf87-6ffa032bf147
https://vbn.aau.dk/da/publications/c06bbfe6-5a70-4622-bf87-6ffa032bf147
Autor:
Igor Donevski, Marco Virgili, Nithin Babu, Jimmy Jessen Nielsen, Andrew J. Forsyth, Constantinos B. Papadias, Petar Popovski
Publikováno v:
Donevski, I, Virgili, M, Babu, N, Nielsen, J J, Forsyth, A J, Papadias, C B & Popovski, P 2023, ' Sustainable Wireless Services with UAV Swarms Tailored to Renewable Energy Sources ', IEEE Transactions on Smart Grid, pp. 1 . https://doi.org/10.1109/TSG.2022.3224517
Donevski, I, Virgili, M, Babu, N, Nielsen, J J, Forsyth, A J, Papadias, C B & Popovski, P 2023, ' Sustainable Wireless Services with UAV Swarms Tailored to Renewable Energy Sources ', IEEE Transactions on Smart Grid, vol. 14, no. 4, pp. 1 . https://doi.org/10.1109/TSG.2022.3224517
Donevski, I, Virgili, M, Babu, N, Nielsen, J J, Forsyth, A J, Papadias, C B & Popovski, P 2023, ' Sustainable Wireless Services with UAV Swarms Tailored to Renewable Energy Sources ', IEEE Transactions on Smart Grid, vol. 14, no. 4, pp. 1 . https://doi.org/10.1109/TSG.2022.3224517
Unmanned Aerial Vehicle (UAV) swarms are often required in off-grid scenarios, such as disaster-struck, war-torn or rural areas, where the UAVs have no access to the power grid and instead rely on renewable energy. Considering a main battery fed from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f5549c537af1be3a3ef40ebf59f6d88
Publikováno v:
Donevski, I, Leyva-Mayorga, I, Nielsen, J J & Popovski, P 2021, ' Performance Trade-Offs in Cyber–Physical Control Applications With Multi-Connectivity ', Frontiers in Communications and Networks, vol. 2, 712973, pp. 1-14 . https://doi.org/10.3389/frcmn.2021.712973
Frontiers in Communications and Networks, Vol 2 (2021)
Frontiers in Communications and Networks, Vol 2 (2021)
Modern communication devices are often equipped with multiple wireless communication interfaces with diverse characteristics. This enables exploiting a form of multi-connectivity known as interface diversity to provide path diversity with multiple co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a58a053c660b4fd134ae35f83366a1e
https://vbn.aau.dk/da/publications/0adc6d19-051f-458e-83b5-e136a5d6509f
https://vbn.aau.dk/da/publications/0adc6d19-051f-458e-83b5-e136a5d6509f
Publikováno v:
Donevski, I, Babu, N, Nielsen, J J, Popovski, P & Saad, W 2021, ' Federated Learning with a Drone Orchestrator : Path Planning for Minimized Staleness ', IEEE Open Journal of the Communications Society, vol. 2, 9400376, pp. 1000-1014 . https://doi.org/10.1109/OJCOMS.2021.3072003
IEEE Open Journal of the Communications Society, Vol 2, Pp 1000-1014 (2021)
IEEE Open Journal of the Communications Society, Vol 2, Pp 1000-1014 (2021)
In this paper, we investigate the problem of scheduling transmissions for spatially scattered nodes that contribute to a collaborative federated learning (FL) algorithm via wireless links provided by a drone. In the considered system, the drone acts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d76f750d232d18ed57cb27dccfb0b77a
https://vbn.aau.dk/ws/files/433249213/Federated_Learning_With_a_Drone_Orchestrator_Path_Planning_for_Minimized_Staleness.pdf
https://vbn.aau.dk/ws/files/433249213/Federated_Learning_With_a_Drone_Orchestrator_Path_Planning_for_Minimized_Staleness.pdf
Autor:
Andre Sorensen, Hua Wang, Maxime Jerome Remy, Nicolaj Kjettrup, Rene Brandborg Sorensen, Jimmy Jessen Nielsen, Petar Popovski, German Corrales Madueno
Publikováno v:
Sorensen, A, Wang, H, Remy, M J, Kjettrup, N, Sorensen, R B, Nielsen, J J, Popovski, P & Madueno, G C 2022, ' Modeling and Experimental Validation for Battery Lifetime Estimation in NB-IoT and LTE-M ', IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9804-9819 . https://doi.org/10.1109/JIOT.2022.3152173
Internet of Things (IoT) is one of the main features in 5G. Low-power wide-area networking (LPWAN) has attracted enormous research interests to enable large scale deployment of IoT, with the design objectives of low cost, wide coverage area, as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cdd1a1fa32ad987272751bde9d8b6ad