38 citations · 129 across the 22 of their papers we have counts for
23 papers
ODMA-based MIMO Massive Unsourced Random Access with Soft-Output Polar Codes
Tianya Li, Xiaoran Zhang, Nan Hu +4
This paper investigates the design of the on-off division multiple access (ODMA) transmission scheme for multiple-input multiple-output (MIMO) massive unsourced random access (URA)…
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)…
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…
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…
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…
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…
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…
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…
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…
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…
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,…
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…
CF-CGN: Channel Fingerprints Extrapolation for Multi-band Massive MIMO Transmission based on Cycle-Consistent Generative Networks
Chenjie Xie, Li You, Zhenzhou Jin +3
Multi-band massive multiple-input multiple-output (MIMO) communication can promote the cooperation of licensed and unlicensed spectra, effectively enhancing spectrum efficiency for…
GDM4MMIMO: Generative Diffusion Models for Massive MIMO Communications
Zhenzhou Jin, Li You, Huibin Zhou +6
Massive multiple-input multiple-output (MIMO) offers significant advantages in spectral and energy efficiencies, positioning it as a cornerstone technology of fifth-generation (5G)…
Group Information Geometry Approach for Ultra-Massive MIMO Signal Detection
Jiyuan Yang, Yan Chen, Xiqi Gao +2
We propose a group information geometry approach (GIGA) for ultra-massive multiple-input multiple-output (MIMO) signal detection. The signal detection task is framed as computing t…
On the Spectral Efficiency of Multi-user Holographic MIMO Uplink Transmission
Mengyu Qian, Li You, Xiang-Gen Xia +1
With antenna spacing much less than half a wavelength in confined space, holographic multiple-input multiple-output (HMIMO) technology presents a promising frontier in next-generat…
An I2I Inpainting Approach for Efficient Channel Knowledge Map Construction
Zhenzhou Jin, Li You, Jue Wang +2
Channel knowledge map (CKM) has received widespread attention as an emerging enabling technology for environment-aware wireless communications. It involves the construction of data…
Asynchronous MIMO-OFDM Massive Unsourced Random Access with Codeword Collisions
Tianya Li, Yongpeng Wu, Junyuan Gao +4
This paper investigates asynchronous multiple-input multiple-output (MIMO) massive unsourced random access (URA) in an orthogonal frequency division multiplexing (OFDM) system over…
Precoder Design for User-Centric Network Massive MIMO with Matrix Manifold Optimization
Rui Sun, Li You, An-An Lu +3
In this paper, we investigate the precoder design for user-centric network (UCN) massive multiple-input multiple-output (mMIMO) downlink with matrix manifold optimization. In UCN m…
Signal Detection for Ultra-Massive MIMO: An Information Geometry Approach
Jiyuan Yang, Yan Chen, Xiqi Gao +2
In this paper, we propose an information geometry approach (IGA) for signal detection (SD) in ultra-massive multiple-input multiple-output (MIMO) systems. We formulate the signal d…
Simplified Information Geometry Approach for Massive MIMO-OFDM Channel Estimation -- Part II: Convergence Analysis
Jiyuan Yang, Yan Chen, Mingrui Fan +3
In Part II of this two-part paper, we prove the convergence of the simplified information geometry approach (SIGA) proposed in Part I. For a general Bayesian inference problem, we…
Efficient Information Geometry Approach for Massive MIMO-OFDM Channel Estimation
Jiyuan Yang, Yan Chen, Mingrui Fan +6
We investigate the channel estimation for massive multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. We revisit the information geometry…
Code-Aided Channel Estimation in LDPC-Coded MIMO Systems
Binghui Shi, Yongpeng Wu, Peihong Yuan +3
For a multiple-input multiple-output (MIMO) system with unknown channel state information (CSI), a novel low-density parity check (LDPC)-coded transmission (LCT) scheme with joint…