activity
20242026
collaborators

14 papers

eess.SP2026

Channel Charting With Physical Channel Fingerprints For Massive MIMO-OFDM Channel Acquisition

Jinke Tang, Xiqi Gao, Li You +2

The advancement of 6G mobile communication and positioning technologies has amplified the significance of location-aware tools, such as location-indexed channel fingerprints (CFs)…

cs.IT2026

Joint Localization and Orientation with Triple-Beam Fingerprints in Massive MIMO-OFDM

Yu Zhao, Zhenzhou Jin, Jinke Tang +4

With the widespread application of location-based services, fingerprint-based localization has demonstrated advantages in environments with complex signal propagation. Deep learnin…

cs.LG2026

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework

Zhenzhou Jin, Li You, Xiang-Gen Xia +1

Channel fingerprint (CF) is considered a key enabler for facilitating the acquisition of channel state information (CSI) in massive multiple-input multiple-output (MIMO) communicat…

eess.SP2025

Massive MIMO-OFDM Channel Acquisition with Multi-group Adjustable Phase Shift Pilots

Yu Zhao, Li You, Jinke Tang +4

Massive multiple-input multiple-output - orthogonal frequency division multiplexing (MIMO-OFDM) systems face the challenge of high channel acquisition overhead while providing sign…

cs.NI2025

EnvCDiff: Joint Refinement of Environmental Information and Channel Fingerprints via Conditional Generative Diffusion Model

Zhenzhou Jin, Li You, Xiang-Gen Xia +1

The paradigm shift from environment-unaware communication to intelligent environment-aware communication is expected to facilitate the acquisition of channel state information for…

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…