Li Liu

Orcid: 0000-0002-4076-4828

Affiliations:
  • Sichuan Normal University, Laboratory of Information Intelligent Processing and Communications, College of Physics and Electronic Engineering, Chengdu, China
  • Southwestern Institute of Physics, Chengdu, China (PhD 2004)


According to our database1, Li Liu authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
RIS-Aided Cell-Free Massive MIMO Systems With Low-Resolution ADCs: Uplink Performance Analysis and Optimization.
IEEE Internet Things J., June, 2025

2024
Separate Channel Estimation and Data Detection for Semi-Passive RIS-Empowered Massive MIMO.
IEEE Commun. Lett., August, 2024

Data-Aided Channel Estimation and Combining for Cell-Free Massive MIMO With Low-Resolution ADCs.
IEEE Commun. Lett., March, 2024

2023
Performance Analysis of Cell-Free Massive MIMO Network With Large-Scale-Fading Decoding and Low-Resolution ADCs.
IEEE Trans. Veh. Technol., October, 2023

Joint Effective Channel Estimation and Data Detection for RIS-Aided Massive MIMO Systems With Low-Resolution ADCs.
IEEE Commun. Lett., February, 2023

Performance Analysis and Optimization of Multicell Massive MIMO With Variable-Resolution ADCs Over Correlated Rayleigh Fading Channels.
IEEE Trans. Veh. Technol., 2023

Performance Analysis and Bit Allocation of Cell-Free Massive MIMO Network With Variable-Resolution ADCs.
IEEE Trans. Commun., 2023

2022
Performance Analysis on Cell-Free Massive MIMO With Capacity-Constrained Fronthauls and Variable-Resolution ADCs.
IEEE Syst. J., 2022

2021
Performance Analysis of Massive MIMO Relay Systems With Variable-Resolution ADCs/DACs Over Spatially Correlated Channels.
IEEE Trans. Veh. Technol., 2021

Asymptotic Analysis for Cell-Free Massive MIMO With MMSE Combining and Low-Resolution ADCs.
IEEE Commun. Lett., 2021

Spectral and Energy Efficiency of Multicell Massive MIMO With Variable-Resolution ADCs Over Correlated Rayleigh Fading Channels.
CoRR, 2021


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