| Secure federated learning in 5G mobile networks M Isaksson, K Norrman GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 31 | 2020 |
| Vehicle detection using anisotropic magnetoresistors M Isaksson | 29 | 2008 |
| Predicting strongest cell on secondary carrier using primary carrier data H Ryden, J Berglund, M Isaksson, R Cöster, F Gunnarsson 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2018 | 19 | 2018 |
| Rate shaping triggered discontinuous transmission in wireless communications M Isaksson, M Jansson, A Ohlsson US Patent 8,761,093, 2014 | 18 | 2014 |
| Managing communication in a wireless communications network M Isaksson, W Müller, A Bararsani, R Cöster, T Kvernvik US Patent 11,490,313, 2022 | 10 | 2022 |
| Rate Shaping For Wireless Communication Using Token Bucket That Allows Token Debt M Isaksson, M Hurd, H Wiemann US Patent App. 12/820,557, 2011 | 10 | 2011 |
| Predictive scheduling for uplink transmission in a cellular network Y Sun, M Isaksson, P Fredrik US Patent WO2014191050 A1, 2014 | 9* | 2014 |
| Queue management system and methods M Isaksson, H Ekstrom, M Ljungberg US Patent 8,565,249, 2013 | 9 | 2013 |
| Predictive adaptive queue management T Dudda, M Isaksson, R Karaki, H Wiemann US Patent 10,412,634, 2019 | 8 | 2019 |
| Methods, apparatus and machine-readable media relating to machine-learning in a communication network K Norrman, M Isaksson US Patent App. 17/635,332, 2022 | 3 | 2022 |
| Performing a handover procedure H Rydén, M Isaksson, V Yajnanarayana, S Bin Redhwan, R Zhohov, ... US Patent App. 17/780,887, 2023 | 2 | 2023 |
| Adaptive Expert Models for Federated Learning M Isaksson, E Listo Zec, R Cöster, D Gillblad, S Girdzijauskas International Workshop on Trustworthy Federated Learning, 1-16, 2022 | 2 | 2022 |
| Methods, apparatus and machine-readable media relating to machine-learning in a communication network K Norrman, M Isaksson US Patent App. 17/635,405, 2022 | 1 | 2022 |
| Methods, apparatus and machine-readable media relating to machine-learning in a communication network K Norrman, M Isaksson US Patent App. 17/635,235, 2022 | 1 | 2022 |
| Methods, apparatus and machine-readable media relating to machine-learning in a communication network K Norrman, M Isaksson US Patent App. 17/635,400, 2022 | 1 | 2022 |
| Adaptive expert models for personalization in federated learning M Isaksson, EL Zec, R Cöster, D Gillblad, Š Girdzijauskas arXiv preprint arXiv:2206.07832, 2022 | 1 | 2022 |
| mmWave Beam Selection in Analog Beamforming Using Personalized Federated Learning M Isaksson, F Vannella, D Sandberg, R Cöster arXiv preprint arXiv:2310.00406, 2023 | | 2023 |
| Methods and apparatus for roaming between wireless communications networks T Kvernvik, M Isaksson, H Olsson US Patent 11,510,136, 2022 | | 2022 |
| Reinforcement learning systems for controlling wireless communication networks J Jeong, L Bjarre, M Isaksson US Patent App. 17/763,928, 2022 | | 2022 |
| Radio coverage map generation J Jeong, M Isaksson, Y Wang US Patent 11,475,607, 2022 | | 2022 |
Henrik RydénEricsson ResearchVerified email at ericsson.com
