695 citations · 2.5k across the 57 of their papers we have counts for
20 papers · 1 filter
Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
Mojtaba Vaezi, Xingqin Lin, Hongliang Zhang +2
Modern cellular networks are multi-cell and use universal frequency reuse to maximize spectral efficiency. This results in high inter-cell interference. This problem is growing as…
5G-Advanced Towards 6G: Past, Present, and Future
Wanshi Chen, Xingqin Lin, Juho Lee +4
Since the start of 5G work in 3GPP in early 2016, tremendous progress has been made in both standardization and commercial deployments. 3GPP is now entering the second phase of 5G…
Technology Trends for Massive MIMO towards 6G
Yiming Huo, Xingqin Lin, Boya Di +6
At the dawn of the next-generation wireless systems and networks, massive multiple-input multiple-output (MIMO) has been envisioned as one of the enabling technologies. With the co…
Internet of Things from Space: Transforming LTE Machine Type Communications for Non-terrestrial Networks
Talha Ahmed Khan, Xingqin Lin, Stefan Eriksson Löwenmark +6
Satellite communication is experiencing a new dawn thanks to low earth orbit mega constellations being deployed at an unprecedented speed. Fueled by the renewed interest in non-ter…
Towards 6G with Connected Sky: UAVs and Beyond
Mohammad Mozaffari, Xingqin Lin, Stephen Hayes
The large-scale and ever-growing use of unmanned aerial vehicles (UAVs) in a wide range of applications is foreseen to be a major part of beyond 5G and 6G wireless networks in the…
5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach
Yun Chen, Xingqin Lin, Talha Khan +2
Direct air-to-ground (A2G) communications leveraging the fifth-generation (5G) new radio (NR) can provide high-speed broadband in-flight connectivity to aircraft in the sky. A2G ne…