10 citations · 10 across the 8 of their papers we have counts for
9 papers
Multimodal Learning for MIMO Beam Prediction Based on Variational Inference
Zijian Zheng, Wenqiang Yi, Hyundong Shin +1
Accurate beam prediction is essential for mitigating signalling overhead and latency in integrated sensing and communication-enabled massive multi-input multi-output systems. With…
Sampling-Free Diffusion Transformers for Low-Complexity MIMO Channel Estimation
Zhixiong Chen, Hyundong Shin, Arumugam Nallanathan
Diffusion model-based channel estimators have shown impressive performance but suffer from high computational complexity because they rely on iterative reverse sampling. This paper…
Tri-Hybrid Beamforming Design for Fully-Connected Pinching Antenna Systems
Cheng-Jie Zhao, Zhaolin Wang, Hyundong Shin +1
A novel fully-connected (FC) tri-hybrid beamforming (THB) architecture is proposed for pinching antenna systems (PASS). In contrast to conventional sub-connected (SC) PASS, the pro…
Efficient LLM Inference over Heterogeneous Edge Networks with Speculative Decoding
Bingjie Zhu, Zhixiong Chen, Liqiang Zhao +2
Large language model (LLM) inference at the network edge is a promising serving paradigm that leverages distributed edge resources to run inference near users and enhance privacy.…
Large Language Model-Empowered Channel Prediction and Predictive Beamforming for LEO Satellite Communications
Zhixiong Chen, Hyundong Shin, Arumugam Nallanathan +1
Accurate channel prediction and effective beamforming are essential for low Earth orbit (LEO) satellite communications to enhance system capacity and enable high-speed connectivity…
Large Language Model-Empowered Decision Transformer for UAV-Enabled Data Collection
Zhixion Chen, Jiangzhou Wang, Hyundong Shin +1
The deployment of unmanned aerial vehicles (UAVs) for reliable and energy-efficient data collection from spatially distributed devices holds great promise in supporting diverse Int…