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20112023
most citedModel-Driven Deep Learning for MIMO Detection

467 citations · 3.3k across the 111 of their papers we have counts for

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Showing 2023 · eess.SPShow all

5 papers · 2 filters

eess.SP2023

Low-Complexity Joint Beamforming for RIS-Assisted MU-MISO Systems Based on Model-Driven Deep Learning

Weijie Jin, Jing Zhang, Chao-Kai Wen +3

Reconfigurable intelligent surfaces (RIS) can improve signal propagation environments by adjusting the phase of the incident signal. However, optimizing the phase shifts jointly wi…

eess.SP2023★ 1 cited

Semantic Communications using Foundation Models: Design Approaches and Open Issues

Peiwen Jiang, Chao-Kai Wen, Xinping Yi +3

Foundation models (FMs), including large language models, have become increasingly popular due to their wide-ranging applicability and ability to understand human-like semantics. W…

eess.SP2023

RIS-Enhanced Semantic Communications Adaptive to User Requirements

Peiwen Jiang, Chao-Kai Wen, Shi Jin +1

Semantic communication significantly reduces required bandwidth by understanding semantic meaning of the transmitted. However, current deep learning-based semantic communication me…

eess.SP2023

Gradient-Based Markov Chain Monte Carlo for MIMO Detection

Xingyu Zhou, Le Liang, Jing Zhang +2

Accurately detecting symbols transmitted over multiple-input multiple-output (MIMO) wireless channels is crucial in realizing the benefits of MIMO techniques. However, optimal MIMO…

eess.SP2023

Communication-efficient Personalized Federated Edge Learning for Massive MIMO CSI Feedback

Yiming Cui, Jiajia Guo, Chao-Kai Wen +1

Deep learning (DL)-based channel state information (CSI) feedback has received significant research attention in recent years. However, previous research has overlooked the potenti…