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20232026
most citedLow-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios

12 citations · 18 across the 10 of their papers we have counts for

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6 papers · 1 filter

eess.SP2026

Non-Orthogonal HARQ-CC over SDR: A GNU Radio-Based Implementation

Hongling Huang, Jintao Wang, Zheng Shi +4

Hybrid Automatic Repeat Request (HARQ) schemes typically allocate all available resources to retransmit failed packets to ensure reliability. However, under stringent delay constra…

eess.SP2025

Out-of-Band Modality Synergy Based Multi-User Beam Prediction and Proactive BS Selection with Zero Pilot Overhead

Kehui Li, Binggui Zhou, Jiajia Guo +3

Multi-user millimeter-wave communication relies on narrow beams and dense cell deployments to ensure reliable connectivity. However, tracking optimal beams for multiple mobile user…

eess.SP2024★ 12 cited

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios

Binggui Zhou, Xi Yang, Shaodan Ma +2

In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplin…

eess.SP2024

Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory

Yuan Feng, Chuanbing Zhao, Feifei Gao +2

In this paper, we propose an environment sensing-aided beam prediction model for smart factory that can be transferred from given environments to a new environment. In particular,…

eess.SP2024

Variational Bayesian Learning Based Localization and Channel Reconstruction in RIS-aided Systems

Yunfei Li, Yiting Luo, Xianda Wu +3

The emerging immersive and autonomous services have posed stringent requirements on both communications and localization. By considering the great potential of reconfigurable intel…

eess.SP2024

Variational Bayesian Learning based Joint Localization and Path Loss Exponent with Distance-dependent Noise in Wireless Sensor Network

Yunfei Li, Yiting Luo, Weiqiang Tan +3

This paper focuses on the challenge of jointly optimizing location and path loss exponent (PLE) in distance-dependent noise. Departing from the conventional independent noise model…