| LTE in the sky: Trading off propagation benefits with interference costs for aerial nodes B Van Der Bergh, A Chiumento, S Pollin IEEE Communications Magazine 54 (5), 44-50, 2016 | 346 | 2016 |
| Coexistence of terrestrial and aerial users in cellular networks MM Azari, F Rosas, A Chiumento, S Pollin 2017 IEEE Globecom Workshops (GC Wkshps), 1-6, 2017 | 189 | 2017 |
| Key technologies and system trade-offs for detection and localization of amateur drones MM Azari, H Sallouha, A Chiumento, S Rajendran, E Vinogradov, S Pollin IEEE Communications Magazine 56 (1), 51-57, 2018 | 137 | 2018 |
| Resource management techniques for cloud/fog and edge computing: An evaluation framework and classification A Mijuskovic, A Chiumento, R Bemthuis, A Aldea, P Havinga Sensors 21 (5), 1832, 2021 | 112 | 2021 |
| Localization in long-range ultra narrow band IoT networks using RSSI H Sallouha, A Chiumento, S Pollin 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 106 | 2017 |
| Aerial anchors positioning for reliable RSS-based outdoor localization in urban environments H Sallouha, MM Azari, A Chiumento, S Pollin IEEE Wireless Communications Letters 7 (3), 376-379, 2017 | 89 | 2017 |
| Adaptive CSI and feedback estimation in LTE and beyond: a Gaussian process regression approach A Chiumento, M Bennis, C Desset, LV der Perre, S Pollin EURASIP Journal on Wireless Communications and Networking 2015, 1-14, 2015 | 59 | 2015 |
| Bluetooth now or low energy: Should BLE mesh become a flooding or connection oriented network? Y Murillo, B Reynders, A Chiumento, S Malik, P Crombez, S Pollin 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 47 | 2017 |
| Deep reinforcement learning for dynamic network slicing in IEEE 802.11 networks S De Bast, R Torrea-Duran, A Chiumento, S Pollin, H Gacanin IEEE INFOCOM 2019-IEEE Conference on Computer Communications Workshops …, 2019 | 43 | 2019 |
| Localization in ultra narrow band IoT networks: Design guidelines and tradeoffs H Sallouha, A Chiumento, S Rajendran, S Pollin IEEE Internet of Things Journal 6 (6), 9375-9385, 2019 | 27 | 2019 |
| Database-assisted spectrum prediction in 5G networks and beyond: A review and future challenges M Hoyhtya, A Mammela, A Chiumento, S Pollin, M Forsell, D Cabric IEEE Circuits and Systems Magazine 19 (3), 34-45, 2019 | 26 | 2019 |
| Exploration of user separation capabilities by distributed large antenna arrays CM Chen, V Volskiy, A Chiumento, L Van der Perre, GAE Vandenbosch, ... 2016 IEEE Globecom Workshops (GC Wkshps), 1-6, 2016 | 25 | 2016 |
| Building a connected BLE mesh: A network inference study A Chiumento, B Reynders, Y Murillo, S Pollin 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2018 | 22 | 2018 |
| Improving piglets health and well-being: A review of piglets health indicators and related sensing technologies E Sadeghi, C Kappers, A Chiumento, M Derks, P Havinga Smart Agricultural Technology 5, 100246, 2023 | 19 | 2023 |
| Impact of CSI feedback strategies on LTE downlink and reinforcement learning solutions for optimal allocation A Chiumento, C Desset, S Pollin, L Van der Perre, R Lauwereins IEEE Transactions on Vehicular Technology 66 (1), 550-562, 2016 | 19 | 2016 |
| AI-enabled reliable QoS in multi-RAT wireless IoT networks: Prospects, challenges, and future directions K Zia, A Chiumento, PJM Havinga IEEE Open Journal of the Communications Society 3, 1906-1929, 2022 | 18 | 2022 |
| Uplink performance analysis of a drone cell in a random field of ground interferers MM Azari, F Rosas, A Chiumento, A Ligata, S Pollin 2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018 | 16 | 2018 |
| Energy-aware deep reinforcement learning scheduling for sensors correlated in time and space J Hribar, A Marinescu, A Chiumento, LA DaSilva IEEE Internet of Things Journal 9 (9), 6732-6744, 2021 | 15 | 2021 |
| A multiprotocol low-cost automated testbed for BLE mesh Y Murillo, B Reynders, A Chiumento, S Pollin IEEE Communications Magazine 57 (3), 76-83, 2019 | 15 | 2019 |
| Three-layer approach to detect anomalies in industrial environments based on machine learning D Gutierrez-Rojas, M Ullah, IT Christou, G Almeida, P Nardelli, D Carrillo, ... 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS) 1, 250-256, 2020 | 14 | 2020 |
Sofie PollinProfessor Electrical Engineering, KU LeuvenVerified email at esat.kuleuven.be
