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20212024
most citedLearning-based WiFi Traffic Load Estimation in NR-U Systems

7 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Sonicmesh: Enhancing 3D Human Mesh Reconstruction in Vision-Impaired Environments With Acoustic Signals

Xiaoxuan Liang, Wuyang Zhang, Hong Zhou +7

3D human mesh reconstruction (HMR) from RGB images often degrades under poor illumination, occlusion, and non-line-of-sight conditions. Acoustic sensing provides complementary spat…

eess.SP2024

A novel and efficient parameter estimation of the Lognormal-Rician turbulence model based on k-Nearest Neighbor and data generation method

Maoke Miao, Xinyu Zhang, Bo Liu +4

In this paper, we propose a novel and efficient parameter estimator based on -Nearest Neighbor (NN) and data generation method for the Lognormal-Rician turbulence channel. Th…

cs.IT2023

New Results for the Pointing Errors Model in Two Asymptotic Cases

Maoke Miao, Xiao-yu Chen, Rui Yin +1

Several precise and computationally efficient results for pointing errors models in two asymptotic cases are derived in this paper. The normalized mean-squared error (NMSE) perform…

quant-ph2022★ 6 cited

Gaussian entanglement witness and refined Werner-Wolf criterion for continuous variables

Xiao-yu Chen, Maoke Miao, Rui Yin +1

We use matched quantum entanglement witnesses to study the separable criteria of continuous variable states. The witness can be written as an identity operator minus a Gaussian ope…

quant-ph2022

Matched entanglement witness criteria for continuous variables

Xiao-yu Chen, Maoke Miao, Rui Yin +1

We use quantum entanglement witnesses derived from Gaussian operators to study the separable criteria of continuous variable states. We transform the validity of a Gaussian witness…

cs.IT2021★ 1 cited

Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning

Rui Yin, Zhiqun Zou, Celimuge Wu +2

In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled network is studied. To improve the spectrum efficiency (SE) on the unlicensed bands and fit its…

cs.IT2021★ 7 cited

Learning-based WiFi Traffic Load Estimation in NR-U Systems

Rui Yin, Zhiqun Zou, Celimuge Wu +3

The unlicensed spectrum has been utilized to make up the shortage on frequency spectrum in new radio (NR) systems. To fully exploit the advantages brought by the unlicensed bands,…