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ORCIDHenrik Ryden
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Journal Articles
- 2023
[j3]Henrik Rydén, Hamed Farhadi, Alexandros Palaios, László Hévizi, David Sandberg, Tor Kvernvik:
Next Generation Mobile Networks' Enablers: Machine Learning-Assisted Mobility, Traffic, and Radio Channel Prediction. IEEE Commun. Mag. 61(10): 94-98 (2023)- 2020
- [j2]Ursula Challita, Henrik Ryden, Hugo M. Tullberg:
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications. IEEE Commun. Mag. 58(6): 12-18 (2020) - 2017
- [j1]Xingqin Lin
, Johan Bergman, Fredrik Gunnarsson, Olof Liberg, Sara Modarres Razavi, Hazhir Shokri-Razaghi, Henrik Ryden, Yutao Sui:
Positioning for the Internet of Things: A 3GPP Perspective. IEEE Commun. Mag. 55(12): 179-185 (2017)
Conference and Workshop Papers
- 2021
- [c10]Roman Zhohov, Alexandros Palaios, Henrik Rydén, Reza Moosavi, Joel Berglund:
Reducing Latency: Improving Handover Procedure Using Machine Learning. VTC Spring 2021: 1-5 - 2020
- [c9]Vijaya Yajnanarayana, Henrik Rydén, László Hévizi:
5G Handover using Reinforcement Learning. 5G World Forum 2020: 349-354 - [c8]Henrik Rydén, Reza Moosavi:
Downloadable machine learning for compressed radiolocation applications in radio access networks. GLOBECOM (Workshops) 2020: 1-6 - 2019
- [c7]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:
Narrowband Internet of Things 5G Performance. VTC Fall 2019: 1-5 - [c6]Henrik Rydén, Sakib Bin Redhwan, Xingqin Lin:
Rogue Drone Detection: A Machine Learning Approach. WCNC 2019: 1-6 - 2018
- [c5]Henrik Ryden, Sara Modarres Razavi, Fredrik Gunnarsson, Ivar Olofsson:
Cellular Network Positioning Performance Improvements by Richer Device Reporting. VTC Spring 2018: 1-5 - [c4]Sara Modarres Razavi, Fredrik Gunnarsson, Henrik Ryden, Ake Busin, Xingqin Lin, Xin Zhang, Satyam Dwivedi, Iana Siomina, Ritesh Shreevastav:
Positioning in cellular networks: Past, present, future. WCNC 2018: 1-6 - [c3]Henrik Ryden, Joel Berglund, Martin Isaksson, Rickard Cöster, Fredrik Gunnarsson:
Predicting strongest cell on secondary carrier using primary carrier data. WCNC Workshops 2018: 137-142 - 2016
- [c2]Henrik Ryden, Ali A. Zaidi, Sara Modarres Razavi, Fredrik Gunnarsson, Iana Siomina:
Enhanced time of arrival estimation and quantization for positioning in LTE networks. PIMRC 2016: 1-6 - 2015
- [c1]Henrik Ryden, Sara Modarres Razavi, Fredrik Gunnarsson, Su Min Kim, Meng Wang, Yufei W. Blankenship, Asbjörn Grövlen, Ake Busin:
Baseline performance of LTE positioning in 3GPP 3D MIMO indoor user scenarios. ICL-GNSS 2015: 1-6
Informal and Other Publications
- 2024
- [i9]Henrik Rydén, Reza Moosavi, Erik G. Larsson:
Federated Learning with Multi-resolution Model Broadcast. CoRR abs/2405.19886 (2024) - 2022
- [i8]Henrik Rydén, Alexandros Palaios, László Hévizi, David Sandberg, Tor Kvernvik, Hamed Farhadi:
Mobility, traffic and radio channel prediction: 5G and beyond applications. CoRR abs/2203.08047 (2022) - 2021
- [i7]Xingqin Lin, Mingzhe Chen, Henrik Rydén, Jaeseong Jeong, Heunchul Lee, Mårten Sundberg, Roy Timo, Hazhir Shokri-Razaghi, H. Vincent Poor:
Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G. CoRR abs/2111.10663 (2021) - 2019
- [i6]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, Talha Khan:
5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and Solutions. CoRR abs/1903.11219 (2019) - [i5]Vijaya Yajnanarayana, Henrik Rydén, László Hévizi, Ankit Jauhari, Mirsad Cirkic:
5G Handover using Reinforcement Learning. CoRR abs/1904.02572 (2019) - [i4]Ursula Challita, Henrik A. Ryden, Hugo M. Tullberg:
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications. CoRR abs/1911.03585 (2019) - 2018
- [i3]Guang Yang, Xingqin Lin, Yan Li, Hang Cui, Min Xu, Dan Wu, Henrik Ryden, Sakib Bin Redhwan:
A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5G. CoRR abs/1803.11048 (2018) - [i2]Henrik Rydén, Sakib Bin Redhwan, Xingqin Lin:
Rogue Drone Detection: A Machine Learning Approach. CoRR abs/1805.05138 (2018) - 2017
- [i1]Xingqin Lin, Johan Bergman, Fredrik Gunnarsson, Olof Liberg, Sara Modarres Razavi, Hazhir Shokri-Razaghi, Henrik Ryden, Yutao Sui:
Positioning for the Internet of Things: A 3GPP Perspective. CoRR abs/1705.04269 (2017)
Coauthor Index
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