Ting Liu

Orcid: 0000-0003-1924-2600

Affiliations:
  • Nanjing University of Information Science and Technology, Nanjing, China
  • Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (Ph.D., 2019)


According to our database1, Ting Liu authored at least 20 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Gridless Hybrid-Field Channel Estimation for Extra-Large Aperture Array Massive MIMO Systems.
IEEE Wirel. Commun. Lett., February, 2024

2023
Reconfigurable Intelligent Surface Enhanced Massive Connectivity With Massive MIMO.
IEEE Trans. Commun., December, 2023

Reconfigurable Intelligent Surface Enhanced Massive IoT Systems With Nonlinear Measurements.
IEEE Wirel. Commun. Lett., November, 2023

Deep Transfer Learning for Model-Driven Signal Detection in MIMO-NOMA Systems.
IEEE Trans. Veh. Technol., October, 2023

Channel Estimation and Device Detection for Reconfigurable Intelligent Surface Aided Massive IoT Networks With Mixed-ADCs.
IEEE Commun. Lett., October, 2023

Nonlinear Channel Estimation and Signal Detection for Quantized OFDM System.
IEEE Commun. Lett., October, 2023

2022
Deep Transfer Reinforcement Learning for Beamforming and Resource Allocation in Multi-Cell MISO-OFDMA Systems.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Deep transfer reinforcement learning for resource allocation in hybrid multiple access systems.
Phys. Commun., 2022

Bi-directional Deep Transfer Learning for RIS-enhanced Multi-cell OFDMA Systems.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

CNN-BiLSTM-based Learnable Viterbi Signal Detection without Channel State Information.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Resource Allocation of E2E Slices in Softwarized UAVs-Assisted 6G Terrestrial Networks.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Deep Transfer Learning for Model-Driven Signal Detection in Downlink MIMO-NOMA Systems.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Joint Data and Model Driven Channel-Free Signal Detection based Learned Factor Graph.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2019
OFDM-Clipped Signal Recovery and Learning Using Gaussian Mixture GTurbo Approach.
IEEE Wirel. Commun. Lett., 2019

Generalized Channel Estimation and User Detection for Massive Connectivity With Mixed-ADC Massive MIMO.
IEEE Trans. Wirel. Commun., 2019

Angular domain precoding-based PAPR reduction for massive MIMO systems.
Sci. China Inf. Sci., 2019

A Data-aided Compensation of Clipped OFDM Signals by Bayesian Learning Scheme.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2018
Angular Domain PAPR Reduction for Massive Multi-user MIMO-OFDM Downlink.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2016
Generalized turbo signal recovery for nonlinear measurements and orthogonal sensing matrices.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Optimal data detection for OFDM system with low-resolution quantization.
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016


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