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Lixiang Lian
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2020 – today
- 2024
- [j12]Shicheng Hu, Lixiang Lian, Hua Qian, Kai Kang, Mingqi Li:
Blind Multi-Level MAP Detection With Phase Noise Compensation in MIMO-OFDM Systems. IEEE Trans. Commun. 72(3): 1596-1611 (2024) - [j11]Jiaqi Jiang, Lixiang Lian, Tao Yu, Qi Shi, Shunqing Zhang, Xiaojing Chen, Vincent K. N. Lau:
A Novel Dual-Driven Channel Estimation Scheme for Spatially Non-Stationary Fading Environments. IEEE Trans. Wirel. Commun. 23(7): 7027-7042 (2024) - [c15]Sijie Ji, Lixiang Lian, Yuanqing Zheng, Chenshu Wu:
MuSAC: Mutualistic Sensing and Communication for Mobile Crowdsensing. ICDCS 2024: 243-254 - [i4]Ronghua Peng, Peng Gao, Jing You, Lixiang Lian:
Multi-User Localization and Tracking with Spatiotemporal Correlation in Multi-RIS-Assisted Systems. CoRR abs/2407.07715 (2024) - 2023
- [j10]Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. IEEE Commun. Surv. Tutorials 25(4): 2088-2132 (2023) - [j9]Peng Gao, Lixiang Lian, Jinpei Yu:
Cooperative ISAC With Direct Localization and Rate-Splitting Multiple Access Communication: A Pareto Optimization Framework. IEEE J. Sel. Areas Commun. 41(5): 1496-1515 (2023) - [c14]Jiaqi Cao, Lixiang Lian, Yijie Mao, Bruno Clerckx:
Adaptive CSI Feedback with Hidden Semantic Information Transfer. ICASSP 2023: 1-5 - [c13]Lixiang Lian, Ben Wang:
Regularized Deep Generative Model Learning for Real-Time Massive MIMO Channel Tracking. ICASSP 2023: 1-5 - [c12]Peng Gao, Lixiang Lian, Jinpei Yu:
Efficiency of Spatial Correlation for Multi-RIS-Assisted Multi-User Direct Localization. ICC 2023: 2741-2746 - [c11]Yihan Xu, Lixiang Lian:
Channel Estimation Based on Contrastive Feature Learning with Few Labeled Samples. SPAWC 2023: 91-95 - [i3]Yandong Shi, Lixiang Lian, Yuanming Shi, Zixin Wang, Yong Zhou, Liqun Fu, Lin Bai, Jun Zhang, Wei Zhang:
Machine Learning for Large-Scale Optimization in 6G Wireless Networks. CoRR abs/2301.03377 (2023) - 2022
- [j8]Peng Gao, Lixiang Lian, Jinpei Yu:
Wireless Area Positioning in RIS-Assisted mmWave Systems: Joint Passive and Active Beamforming Design. IEEE Signal Process. Lett. 29: 1372-1376 (2022) - [c10]Jiaqi Cao, Lixiang Lian:
Information Bottleneck Based Joint Feedback and Channel Learning in FDD Massive MIMO Systems. GLOBECOM 2022: 1442-1447 - [c9]Shaoming Huang, Pengfei Zhang, Yijie Mao, Lixiang Lian, Youlong Wu, Yuanming Shi:
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design. ICC Workshops 2022: 794-799 - [c8]Pan Fang, Lixiang Lian:
Spatial Feature Aided Optimal Compressive Phase Training and Channel Estimation in Massive MIMO Systems with RIS. ICC 2022: 1763-1768 - [c7]Kangchun Zhao, Yijie Mao, Zhaohui Yang, Lixiang Lian, Bruno Clerckx:
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying. ISWCS 2022: 1-6 - [c6]Ben Wang, Lixiang Lian:
Online Compressive Channel Learning Using Untrained Deep Generative Model. VTC Spring 2022: 1-5 - [c5]Peng Gao, Lixiang Lian, Jinpei Yu:
Optimal Passive Beamforming for Cooperative Localization with RIS-Assisted mmWave Systems. WCNC 2022: 222-227 - [i2]Kangchun Zhao, Yijie Mao, Zhaohui Yang, Lixiang Lian, Bruno Clerckx:
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying. CoRR abs/2208.03928 (2022) - [i1]Qiheng Lu, Lixiang Lian:
Decentralized Complete Dictionary Learning via 𝓁4-Norm Maximization. CoRR abs/2211.03628 (2022) - 2020
- [j7]An Liu, Lixiang Lian, Vincent Lau, Guanying Liu, Min-Jian Zhao:
Cloud-Assisted Cooperative Localization for Vehicle Platoons: A Turbo Approach. IEEE Trans. Signal Process. 68: 605-620 (2020) - [j6]Lixiang Lian, Vincent K. N. Lau:
Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information. IEEE Trans. Signal Process. 68: 6026-6039 (2020) - [j5]An Liu, Guanying Liu, Lixiang Lian, Vincent K. N. Lau, Min-Jian Zhao:
Robust Recovery of Structured Sparse Signals With Uncertain Sensing Matrix: A Turbo-VBI Approach. IEEE Trans. Wirel. Commun. 19(5): 3185-3198 (2020) - [c4]Lixiang Lian, Vincent K. N. Lau:
Compressive Channel Estimation in mmWave Systems with Flexible Hybrid Beamforming Architecture. ICC 2020: 1-6
2010 – 2019
- 2019
- [j4]Lixiang Lian, An Liu, Vincent K. N. Lau:
Exploiting Dynamic Sparsity for Downlink FDD-Massive MIMO Channel Tracking. IEEE Trans. Signal Process. 67(8): 2007-2021 (2019) - [j3]Lixiang Lian, An Liu, Vincent K. N. Lau:
User Location Tracking in Massive MIMO Systems via Dynamic Variational Bayesian Inference. IEEE Trans. Signal Process. 67(21): 5628-5642 (2019) - [c3]Guanying Liu, An Liu, Lixiang Lian, Vincent K. N. Lau, Min-Jian Zhao:
Sparse Bayesian Inference Based Direct Localization for Massive MIMO. VTC Fall 2019: 1-5 - 2018
- [j2]Lixiang Lian, An Liu, Vincent K. N. Lau:
Weighted LASSO for Sparse Recovery With Statistical Prior Support Information. IEEE Trans. Signal Process. 66(6): 1607-1618 (2018) - [j1]An Liu, Lixiang Lian, Vincent K. N. Lau, Xiaojun Yuan:
Downlink Channel Estimation in Multiuser Massive MIMO With Hidden Markovian Sparsity. IEEE Trans. Signal Process. 66(18): 4796-4810 (2018) - 2017
- [c2]Lixiang Lian, An Liu, Vincent K. N. Lau:
Optimal-Tuned Weighted LASSO for Massive MIMO Channel Estimation with Limited RF Chains. GLOBECOM 2017: 1-6 - [c1]An Liu, Vincent K. N. Lau, Michael L. Honig, Lixiang Lian:
Compressive RF training and channel estimation in massive MIMO with limited RF chains. ICC 2017: 1-6
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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