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5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul


Feb 07, 2022
Hongyi Zhang, Jingya Li, Zhiqiang Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson


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Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning


Dec 14, 2021
Hongyi Zhang, Jingya Li, Zhiqiang Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G


Nov 20, 2021
Xingqin Lin, Mingzhe Chen, Henrik Rydén, Jaeseong Jeong, Heunchul Lee, MÄrten Sundberg, Roy Timo, Hazhir S. Razaghi, H. Vincent Poor

* 7 pages, 5 figures, 1 table; submitted for publication 

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5G from Space: An Overview of 3GPP Non-Terrestrial Networks


Mar 16, 2021
Xingqin Lin, Stefan Rommer, Sebastian Euler, Emre A. Yavuz, Robert S. Karlsson

* 8 pages, 5 figures, 1 table, submitted for publication 

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A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support


May 11, 2020
Yun Chen, Xingqin Lin, Talha Ahmed Khan, Mohammad Mozaffari

* Under review 

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Efficient Drone Mobility Support Using Reinforcement Learning


Nov 21, 2019
Yun Chen, Xingqin Lin, Talha Khan, Mohammad Mozaffari


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