activity
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

collaborators

11 papers

cs.IT2026

A New Paradigm Towards Reconfigurable Environment: Reconfigurable Distributed Antennas and Reflecting Surface

Jintao Wang, Pingping Zhang, Chengzhi Ma +4

Reconfigurable distributed antennas and reflecting surface (RDARS) has emerged as a transformative solution to address the stringent requirements of future wireless networks. By co…

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…

cs.IT2025

Asymptotic Performance Analysis of Fluid Antenna Systems: An Extreme Value Theory Perspective

Yi Zhang, Jintao Wang, Zheng Shi +4

Fluid antenna systems (FAS) allow dynamic reconfiguration to achieve superior diversity gains and reliability. To quantify the performance scaling of FAS with a large number of ant…

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…

cs.IT2024

HARQ-IR Aided Short Packet Communications: BLER Analysis and Throughput Maximization

Fuchao He, Zheng Shi, Guanghua Yang +3

This paper introduces hybrid automatic repeat request with incremental redundancy (HARQ-IR) to boost the reliability of short packet communications. The finite blocklength informat…

cs.IT2023★ 6 cited

A Low-Overhead Incorporation-Extrapolation based Few-Shot CSI Feedback Framework for Massive MIMO Systems

Binggui Zhou, Xi Yang, Jintao Wang +3

Accurate channel state information (CSI) is essential for downlink precoding in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems with orthog…

cs.IT2023

Spectral-Efficiency and Energy-Efficiency of Variable-Length XP-HARQ

Jiahui Feng, Zheng Shi, Yaru Fu +3

A variable-length cross-packet hybrid automatic repeat request (VL-XP-HARQ) is proposed to boost the spectral efficiency (SE) and the energy efficiency (EE) of communications. The…