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20052023
most citedMulti-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

127 citations · 559 across the 76 of their papers we have counts for

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Showing cs.ITShow all

15 papers · 1 filter

cs.IT2022

Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions

Mengyuan Lee, Guanding Yu, Huaiyu Dai +1

As an efficient graph analytical tool, graph neural networks (GNNs) have special properties that are particularly fit for the characteristics and requirements of wireless communica…

cs.IT2022

Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks

Mengyuan Lee, Guanding Yu, Huaiyu Dai

As an efficient neural network model for graph data, graph neural networks (GNNs) recently find successful applications for various wireless optimization problems. Given that the i…

cs.IT2021★ 7 cited

Decentralized Inference with Graph Neural Networks in Wireless Communication Systems

Mengyuan Lee, Guanding Yu, Huaiyu Dai

Graph neural network (GNN) is an efficient neural network model for graph data and is widely used in different fields, including wireless communications. Different from other neura…

cs.IT2021

Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing

Huilian Zhang, Xiaofan He, Qingqing Wu +1

The performance of mobile edge computing (MEC) depends critically on the quality of the wireless channels. From this viewpoint, the recently advocated intelligent reflecting surfac…

cs.IT2020★ 3 cited

Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems

Nhan Thanh Nguyen, Kyungchun Lee, Huaiyu Dai

In this work, we investigate hybrid analog-digital beamforming (HBF) architectures for uplink cell-free (CF) millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO)…

cs.IT2020★ 3 cited

Accelerating Generalized Benders Decomposition for Wireless Resource Allocation

Mengyuan Lee, Ning Ma, Guanding Yu +1

Generalized Benders decomposition (GBD) is a globally optimal algorithm for mixed integer nonlinear programming (MINLP) problems, which are NP-hard and can be widely found in the a…