most citedChannel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective

1 citations · 3 across the 5 of their papers we have counts for

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5 papers

eess.SP20231 cited

Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective

Younan Mou, Sicong Liu

The underwater propagation environment for visible light signals is affected by complex factors such as absorption, shadowing, and reflection, making it very challengeable to achie…

eess.SP20231 cited

Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective

Tiankuo Wei, Sicong Liu

Visible light positioning (VLP) has drawn plenty of attention as a promising indoor positioning technique. However, in nonstationary environments, the performance of VLP is limited…

eess.SP2023

Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach

Xiao Tang, Sicong Liu

Visible light communication (VLC) has been widely applied as a promising solution for modern short range communication. When it comes to the deployment of LED arrays in VLC network…

cs.LG20231 cited

Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach

Xiao Tang, Sicong Liu, Xiaojiang Du +1

Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of th…

eess.SP2023

Multi-Target Cooperative Visible Light Positioning: A Compressed Sensing Based Framework

Xianyao Wang, Sicong Liu

In this paper, a compressed sensing (CS) based framework of multi-target cooperative visible light positioning (VLP) is formulated to realize simultaneous highaccuracy localization…