Baseline performance of LTE positioning in 3GPP 3D MIMO indoor user scenarios. - Henrik Ryden; Sara Modarres Razavi; Fredrik Gunnarsson; Su Min Kim; Meng Wang; Yufei W. Blankenship; Asbjörn Grövlen; Ake Busin (ICL-GNSS, 2015)

Enhanced time of arrival estimation and quantization for positioning in LTE networks. - Henrik Ryden; Ali A. Zaidi; Sara Modarres Razavi; Fredrik Gunnarsson; Iana Siomina (PIMRC, 2016)

Positioning for the Internet of Things: A 3GPP Perspective. - Xingqin Lin; Johan Bergman; Fredrik Gunnarsson; Olof Liberg; Sara Modarres Razavi; Hazhir Shokri-Razaghi; Henrik Ryden; Yutao Sui (IEEE Commun. Mag., 2017)

Cellular Network Positioning Performance Improvements by Richer Device Reporting. - Henrik Ryden; Sara Modarres Razavi; Fredrik Gunnarsson; Ivar Olofsson (VTC Spring, 2018)

Positioning in cellular networks: Past, present, future. - Sara Modarres Razavi; Fredrik Gunnarsson; Henrik Ryden; Ake Busin; Xingqin Lin; Xin Zhang; Satyam Dwivedi; Iana Siomina; Ritesh Shreevastav (WCNC, 2018)

Predicting strongest cell on secondary carrier using primary carrier data. - Henrik Ryden; Joel Berglund; Martin Isaksson; Rickard Cöster; Fredrik Gunnarsson (WCNC Workshops, 2018)

A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5G. - Guang Yang; Xingqin Lin; Yan Li; Hang Cui; Min Xu; Dan Wu; Henrik Ryden; Sakib Bin Redhwan (CoRR, 2018)

Narrowband Internet of Things 5G Performance. - Olof Liberg; Tuomas Tirronen; Y.-P. Eric Wang; Johan Bergman; Andreas Hoglund; Talha Khan; Gerardo Agni Medina-Acosta; Henrik Ryden; Antti Ratilainen; David Sandberg; Yutao Sui (VTC Fall, 2019)

Rogue Drone Detection: A Machine Learning Approach. - Henrik Rydén; Sakib Bin Redhwan; Xingqin Lin (WCNC, 2019)

5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and Solutions. - Xingqin Lin; Björn Hofström; Y.-P. Eric Wang; Gino Masini; Helka-Liina Maattanen; Henrik Rydén; Jonas Sedin; Magnus Stattin; Olof Liberg; Sebastian Euler; Siva D. Muruganathan; Stefan G. Eriksson; et al. (CoRR, 2019)

5G Handover using Reinforcement Learning. - Vijaya Yajnanarayana; Henrik Rydén; László Hévizi; Ankit Jauhari; Mirsad Cirkic (CoRR, 2019)

5G Handover using Reinforcement Learning. - Vijaya Yajnanarayana; Henrik Rydén; László Hévizi (5G World Forum, 2020)

Downloadable machine learning for compressed radiolocation applications in radio access networks. - Henrik Rydén; Reza Moosavi (GLOBECOM (Workshops), 2020)

When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications. - Ursula Challita; Henrik Ryden; Hugo M. Tullberg (IEEE Commun. Mag., 2020)

Reducing Latency: Improving Handover Procedure Using Machine Learning. - Roman Zhohov; Alexandros Palaios; Henrik Rydén; Reza Moosavi; Joel Berglund (VTC Spring, 2021)

Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G. - Xingqin Lin; Mingzhe Chen; Henrik Rydén; Jaeseong Jeong; Heunchul Lee; Mårten Sundberg; Roy Timo; Hazhir Shokri-Razaghi; H. Vincent Poor (CoRR, 2021)

Mobility, traffic and radio channel prediction: 5G and beyond applications. - Henrik Rydén; Alexandros Palaios; László Hévizi; David Sandberg; Tor Kvernvik; Hamed Farhadi (CoRR, 2022)

Next Generation Mobile Networks' Enablers: Machine Learning-Assisted Mobility, Traffic, and Radio Channel Prediction. - Henrik Rydén; Hamed Farhadi; Alexandros Palaios; László Hévizi; David Sandberg; Tor Kvernvik (IEEE Commun. Mag., 2023)

Federated Learning with Multi-resolution Model Broadcast. - Henrik Rydén; Reza Moosavi; Erik G. Larsson (CoRR, 2024)