Lixiang Lian

According to our database, Lixiang Lian authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Blind Multi-Level MAP Detection With Phase Noise Compensation in MIMO-OFDM Systems.

Shicheng Hu, Lixiang Lian, Hua Qian, Kai Kang, Mingqi Li

IEEE Trans. Commun., March, 2024

2023

Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework.

Peng Gao, Lixiang Lian, Jinpei Yu

IEEE J. Sel. Areas Commun., May, 2023

Machine Learning for Large-Scale Optimization in 6G Wireless Networks.

Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang

IEEE Commun. Surv. Tutorials, 2023

Channel Estimation Based on Contrastive Feature Learning with Few Labeled Samples.

Yihan Xu, Lixiang Lian

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Efficiency of Spatial Correlation for Multi-RIS-Assisted Multi-User Direct Localization.

Peng Gao, Lixiang Lian, Jinpei Yu

Proceedings of the IEEE International Conference on Communications, 2023

Regularized Deep Generative Model Learning for Real-Time Massive MIMO Channel Tracking.

Lixiang Lian, Ben Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Adaptive CSI Feedback with Hidden Semantic Information Transfer.

Jiaqi Cao, Lixiang Lian, Yijie Mao, Bruno Clerckx

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Wireless Area Positioning in RIS-Assisted mmWave Systems: Joint Passive and Active Beamforming Design.

Peng Gao, Lixiang Lian, Jinpei Yu

IEEE Signal Process. Lett., 2022

Decentralized Complete Dictionary Learning via 𝓁⁴-Norm Maximization.

Qiheng Lu, Lixiang Lian

CoRR, 2022

Optimal Passive Beamforming for Cooperative Localization with RIS-Assisted mmWave Systems.

Peng Gao, Lixiang Lian, Jinpei Yu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Online Compressive Channel Learning Using Untrained Deep Generative Model.

Ben Wang, Lixiang Lian

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying.

Kangchun Zhao, Yijie Mao, Zhaohui Yang, Lixiang Lian, Bruno Clerckx

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design.

Shaoming Huang, Pengfei Zhang, Yijie Mao, Lixiang Lian, Youlong Wu, Yuanming Shi

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Spatial Feature Aided Optimal Compressive Phase Training and Channel Estimation in Massive MIMO Systems with RIS.

Pan Fang, Lixiang Lian

Proceedings of the IEEE International Conference on Communications, 2022

Information Bottleneck Based Joint Feedback and Channel Learning in FDD Massive MIMO Systems.

Jiaqi Cao, Lixiang Lian

Proceedings of the IEEE Global Communications Conference, 2022

2020

Robust Recovery of Structured Sparse Signals With Uncertain Sensing Matrix: A Turbo-VBI Approach.

An Liu, Guanying Liu, Lixiang Lian, Vincent K. N. Lau, Min-Jian Zhao

IEEE Trans. Wirel. Commun., 2020

Cloud-Assisted Cooperative Localization for Vehicle Platoons: A Turbo Approach.

An Liu, Lixiang Lian, Vincent Lau, Guanying Liu, Min-Jian Zhao

IEEE Trans. Signal Process., 2020

Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information.

Lixiang Lian, Vincent K. N. Lau

IEEE Trans. Signal Process., 2020

Compressive Channel Estimation in mmWave Systems with Flexible Hybrid Beamforming Architecture.

Lixiang Lian, Vincent K. N. Lau

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019

User Location Tracking in Massive MIMO Systems via Dynamic Variational Bayesian Inference.

Lixiang Lian, An Liu, Vincent K. N. Lau

IEEE Trans. Signal Process., 2019

Exploiting Dynamic Sparsity for Downlink FDD-Massive MIMO Channel Tracking.

Lixiang Lian, An Liu, Vincent K. N. Lau

IEEE Trans. Signal Process., 2019

Sparse Bayesian Inference Based Direct Localization for Massive MIMO.

Guanying Liu, An Liu, Lixiang Lian, Vincent K. N. Lau, Min-Jian Zhao

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018

Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity.

An Liu, Lixiang Lian, Vincent K. N. Lau, Xiaojun Yuan

IEEE Trans. Signal Process., 2018

Weighted LASSO for Sparse Recovery With Statistical Prior Support Information.

Lixiang Lian, An Liu, Vincent K. N. Lau

IEEE Trans. Signal Process., 2018

2017

Compressive RF training and channel estimation in massive MIMO with limited RF chains.

An Liu, Vincent K. N. Lau, Michael L. Honig, Lixiang Lian

Proceedings of the IEEE International Conference on Communications, 2017

Optimal-Tuned Weighted LASSO for Massive MIMO Channel Estimation with Limited RF Chains.

Lixiang Lian, An Liu, Vincent K. N. Lau

Proceedings of the 2017 IEEE Global Communications Conference, 2017