activity
20212026
most citedLightweight and Self-Evolving Channel Twinning: An Ensemble DMD-Assisted Approach

5 citations · 9 across the 13 of their papers we have counts for

collaborators

14 papers

eess.SP2026

Doppler Shift Keying Modulation for Uplink Multiple Access over Doubly-Dispersive Channels

Xuehan Wang, Jintao Wang, Hai Lin +4

The delay-Doppler (DD) domain modulation has been regarded as one of the most competitive candidates to support wireless communications for emerging high-mobility applications in t…

eess.SP2025

RSMA-Assited and Transceiver-Coordinated ICI Management for MIMO-OFDM System

Hengyu Zhang, Xuehan Wang, Xu Shi +2

High-mobility scenarios are becoming increasingly critical in next-generation communication systems. While multiple-input multiple-output orthogonal frequency division multiplexing…

cs.IT2025

Leveraging Channel Knowledge Map for Multi-User Hierarchical Beam Training Under Position Uncertainty

Xu Shi, Haohan Wang, Yashuai Cao +3

Channel knowledge map (CKM) emerges as a promising framework to acquire location-specific channel information without consuming wireless resources, creating new horizons for advanc…

eess.SP2025

BeamCKM: A Framework of Channel Knowledge Map Construction for Multi-Antenna Systems

Haohan Wang, Xu Shi, Hengyu Zhang +4

The channel knowledge map (CKM) enables efficient construction of high-fidelity mapping between spatial environments and channel parameters via electromagnetic information analysis…

eess.SP2025

Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems

Haohan Wang, Xu Shi, Hengyu Zhang +2

Channel knowledge map (CKM) has emerged as a crucial technology for next-generation communication, enabling the construction of high-fidelity mappings between spatial environments…

eess.SP2025★ 3 cited

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…

eess.SP2025★ 5 cited

Lightweight and Self-Evolving Channel Twinning: An Ensemble DMD-Assisted Approach

Yashuai Cao, Jintao Wang, Xu Shi +1

Traditional channel acquisition faces significant limitations due to ideal model assumptions and scalability challenges. A novel environment-aware paradigm, known as channel twinni…

cs.IT2024

Sparse Estimation for XL-MIMO with Unified LoS/NLoS Representation

Xu Shi, Xuehan Wang, Jingbo Tan +1

Extremely large-scale antenna array (ELAA) is promising as one of the key ingredients for the sixth generation (6G) of wireless communications. The electromagnetic propagation of s…

cs.IT2023

Input-Output Relation and Low-Complexity Receiver Design for CP-OTFS Systems with Doppler Squint

Xuehan Wang, Xu Shi, Jintao Wang +1

In orthogonal time frequency space (OTFS) systems, the impact of frequency-dependent Doppler which is referred to as the Doppler squint effect (DSE) is accumulated through longer d…

cs.IT2023★ 1 cited

On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation

Xuehan Wang, Xu Shi, Jintao Wang +1

Extensive work has demonstrated the excellent performance of orthogonal time frequency space (OTFS) modulation in high-mobility scenarios. Time-variant wideband channel estimation…

cs.IT2023

Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO

Xu Shi, Jintao Wang, Zhi Sun +1

XL-MIMO promises to provide ultrahigh data rates in Terahertz (THz) spectrum. However, the spherical-wavefront wireless transmission caused by large aperture array presents huge ch…

cs.IT2022

Enhanced Tracking and Beamforming Codebook Design for Wideband Terahertz Massive MIMO System

Xu Shi, Jintao Wang, Jian Song

True-time-delay (TTD) lines are recently applied inside Terahertz (THz) hybrid-precoding transceiver to acquire high beamforming gain against beam squint effect. However, beam trac…

cs.IT2022

Spatial-chirp Codebook-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO

Xu Shi, Jintao Wang, Zhi Sun +1

Extremely large-scale multiple-input multiple-output (XL-MIMO) promises to provide ultrahigh data rates in millimeter-wave (mmWave) and Terahertz (THz) spectrum. However, the spher…

cs.IT2021

Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems

Xu Shi, Jintao Wang, Guozhi Chen +1

Reconfigurable intelligent surface (RIS) has been recognized as a potential technology for 5G beyond and attracted tremendous research attention. However, channel estimation in RIS…