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Yujie Qin (秦羽婕)

Ph.D. student,

CEMSE,

King Abdullah University of Science and Technology (KAUST), Saudi Arabia.

Yujie Qin is a PhD student in the communication theory lab at King Abdullah University of Science and Technology (KAUST). She received her B.Sc. degree from University of Science and Technology of China (UESTC) in 2020, and M.Sc degree from KAUST in 2021.

Her current research interests include stochastic geometry and UAV communication.

A dominant interferer-based approximation

for SINR meta distribution

A four mins introduction to the dominant interferer-based approximation for SINR meta distribution. (YouTube)
Some slides for detailed explanation. (Slides)
Downlink communication: (IEEE TCOM )
Uplink communication: (arXiv)

Stochasitic Geometry

For a wireless network, the system's performance depends heavily on the spatial configuration of nodes. The accurate modeling of the locations of nodes provides key system insights on the network performance.

Stochastic geometry provides tractable mathematical tools to capture the randomness of the nodes.

Publications

UAV Communications

The primary benefits of UAVs include that they can efficiently function as aerial base stations (BSs) with high relocation flexibility based on dynamic traffic demands, improve the coverage probability by establishing line-of-sight (LoS) links with ground users.

UAVs can assist TBSs to deliver user clusters with reliable network coverage and complement existing cellular networks by providing additional capacity.

Publications

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