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20232026
most citedInterference-Cancellation-Based Channel Knowledge Map Construction and Its Applications to Channel Estimation

14 citations · 15 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SP2026

Low-Complexity Neural Pursuit for Line Spectral Estimation

Chenchen Liu, Wenjun Jiang, Xiaojun Yuan

In this paper, we propose a high-precision yet low-complexity framework, termed Neural Pursuit for Line Spectral Estimation (NeuPLSE), for off-grid line spectral estimation from a…

cs.IT2026

Dynamic Channel Knowledge Map: Fundamentals, Construction, and Applications

Wenjun Jiang, Xiaojun Yuan

Wireless communication networks are evolving toward extremely large antenna arrays, millimeter-wave and terahertz bands, and dense heterogeneous deployments, all of which increase…

eess.SP2026

Learning-Driven Channel Representation for Wireless Localization: From Channel Observations to Location Inference

Hongyu Xie, Chenglong Li, Xinming Huang +4

Wireless observations capture radio signal responses formed through interactions with propagation environments and spatial geometry. In integrated sensing and communication, such o…

eess.SP2026

Array Zooming Optimization for Near-Field Localization With Movable Antennas

Yuxin Duan, Boyu Teng, Xiaojun Yuan +1

The emergence of movable antenna (MA) technology provides a promising way to enhance wireless sensing and communication by introducing spatial degrees of freedom through dynamic ar…

cs.IT2025

Dynamic Channel Knowledge Map Construction in MIMO-OFDM Systems

Wenjun Jiang, Xiaojun Yuan, Chenchen Liu +1

Channel knowledge map (CKM) is a promising paradigm for environment-aware communications by establishing a deterministic mapping between physical locations and channel parameters.…

eess.SP2025

Channel Estimation in Massive MIMO Systems with Orthogonal Delay-Doppler Division Multiplexing

Dezhi Wang, Chongwen Huang, Xiaojun Yuan +6

Orthogonal delay-Doppler division multiplexing~(ODDM) modulation has recently been regarded as a promising technology to provide reliable communications in high-mobility situations…

eess.SP2025

Near-Field Multiuser Localization Based on Extremely Large Antenna Array with Limited RF Chains

Boyu Teng, Xiaojun Yuan, Rui Wang +1

Extremely large antenna array (ELAA) not only effectively enhances system communication performance but also improves the sensing capabilities of communication systems, making it o…

eess.SP2025

Array Partitioning Based Near-Field Attitude and Location Estimation

Mingchen Zhang, Xiaojun Yuan, Boyu Teng +1

This paper studies a passive source localization system, where a single base station (BS) is employed to estimate the positions and attitudes of multiple mobile stations (MSs). The…

cs.IT2024★ 14 cited

Interference-Cancellation-Based Channel Knowledge Map Construction and Its Applications to Channel Estimation

Wenjun Jiang, Xiaojun Yuan, Boyu Teng +2

Channel knowledge map (CKM) is viewed as a digital twin of wireless channels, providing location-specific channel knowledge for environment-aware communications. A fundamental prob…

eess.SP2024

Learning-based Block-wise Planar Channel Estimation for Time-Varying MIMO OFDM

Chenchen Liu, Wenjun Jiang, Xiaojun Yuan

In this paper, we propose a learning-based block-wise planar channel estimator (LBPCE) with high accuracy and low complexity to estimate the time-varying frequency-selective channe…

eess.SP2024★ 1 cited

Scalable Near-Field Localization Based on Partitioned Large-Scale Antenna Array

Xiaojun Yuan, Yuqing Zheng, Mingchen Zhang +2

This paper studies a passive localization system, where an extremely large-scale antenna array (ELAA) is deployed at the base station (BS) to locate a user equipment (UE) residing…

eess.SP2023

Scalable Near-Field Localization Based on Partitioned Large-Scale Antenna Array

Xiaojun Yuan, Yuqing Zheng, Mingchen Zhang +2

This paper studies a passive localization system, where an extremely large-scale antenna array (ELAA) is deployed at the base station (BS) to locate a user equipment (UE) residing…