most citedMassive MIMO-OFDM Channel Acquisition with Time-Frequency Phase-Shifted Pilots

12 citations · 12 across the 3 of their papers we have counts for

collaborators

8 papers

cs.NI2025

Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach

Zhenzhou Jin, Li You, Xudong Li +4

Accurate channel state information (CSI) acquisition for massive multiple-input multiple-output (MIMO) systems is essential for future mobile communication networks. Channel finger…

eess.SP2025

Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information

Zhenzhou Jin, Li You, Derrick Wing Kwan Ng +2

This paper investigates the near-field (NF) channel estimation (CE) for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Considering the pronounced NF effect…

eess.SP2025

Statistical CSI Acquisition for Multi-frequency Massive MIMO Systems

Jinke Tang, Li You, Xinrui Gong +4

Multi-frequency massive multi-input multi-output (MIMO) communication is a promising strategy for both 5G and future 6G systems, ensuring reliable transmission while enhancing freq…

cs.IT202512 cited

Massive MIMO-OFDM Channel Acquisition with Time-Frequency Phase-Shifted Pilots

Jinke Tang, Xiqi Gao, Li You +5

In this paper, we propose a channel acquisition approach with time-frequency phase-shifted pilots (TFPSPs) for massive multi-input multi-output orthogonal frequency division multip…

cs.IT2025

Semantic-aided Parallel Image Transmission Compatible with Practical System

Mingkai Xu, Yongpeng Wu, Yuxuan Shi +4

In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based coding architectures. Particularly,…

cs.IT2025

Beam Structured Turbo Receiver for HF Skywave Massive MIMO

Linfeng Song, Ding Shi, Xiqi Gao +2

In this paper, we investigate receiver design for high frequency (HF) skywave massive multiple-input multiple-output (MIMO) communications. We first establish a modified beam based…