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ORCIDGeoffrey Ye Li
Ye (Geoffrey) Li – Geoffrey Li – Ye Li 0015
Person information
- affiliation: Imperial College London, UK
- affiliation (former): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Ye Li (aka: Li Ye) — disambiguation page
- Ye Li 0001 — Boston University, MA, USA
- Ye Li 0002
![[0000-0002-5351-8546]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5351-8546")
— Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Key Laboratory for Health Informatics, China (and 1 more) - Ye Li 0003 — SAP Deutschland, Hallbergmoos, Germany (and 3 more)
- Ye Li 0004 — Nantong University, School of Electronics and Information, China (and 1 more)
- Ye Li 0005 — East China Normal University, Research Center for Big Data, Shanghai, China
- Ye Li 0006 — Colorado School of Mines, Golden, CO, USA (and 1 more)
- Ye Li 0007 — Chung-Ang University, Department of Electrical & Electronics Engineering, Seoul, South Korea
- Ye Li 0008 — Xi'an University of Technology, Institute of Computer Science & Engineering, China
- Ye Li 0009 — Shanghai Jiaotong University, School of Naval Ocean and Architecture Engineering, China (and 4 more)
- Ye Li 0010 — Shenyang Normal University, Software College, China
- Ye Li 0011 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Lauterbur Imaging Research Center, China
- Ye Li 0012 — Shenyang Jianzhu University, Department of Information and Control Engineering, China
- Ye Li 0013 — Chinese Academy of Sciences, Key Laboratory of Space Utilization, Beijing (and 1 more)
- Ye Li 0014 — Xylem Water Solutions SingaporePtl, Singapore (and 1 more)
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2020 – today
- 2025
[j401]Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu, Yiju Wang:
A step function based recursion method for 0/1 deep neural networks. Appl. Math. Comput. 488: 129129 (2025)- 2024
- [j400]Jie Guo, Hao Chen, Bin Song, Yuhao Chi, Chau Yuen, Fei Richard Yu, Geoffrey Ye Li, Dusit Niyato:
Distributed Task-Oriented Communication Networks with Multimodal Semantic Relay and Edge Intelligence. IEEE Commun. Mag. 62(6): 82-89 (2024) - [j399]Jiajia Guo, Tong Chen, Shi Jin, Geoffrey Ye Li, Xin Wang, Xiaolin Hou:
Deep learning for joint channel estimation and feedback in massive MIMO systems. Digit. Commun. Networks 10(1): 83-93 (2024) - [j398]Chenhao Qi, Jing Wang, Leyi Lyu, Lei Tan, Jinming Zhang, Geoffrey Ye Li:
Key Issues in Wireless Transmission for NTN-Assisted Internet of Things. IEEE Internet Things Mag. 7(1): 40-46 (2024) - [j397]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li:
Semantic communication for cooperative perception based on importance map. J. Frankl. Inst. 361(6): 106739 (2024) - [j396]Yiyu Guo, Zhijin Qin, Xiaoming Tao, Geoffrey Ye Li:
Federated Multi-View Synthesizing for Metaverse. IEEE J. Sel. Areas Commun. 42(4): 867-879 (2024) - [j395]Bowen Zhang, Zhijin Qin, Geoffrey Ye Li:
Compression Ratio Learning and Semantic Communications for Video Imaging. IEEE J. Sel. Top. Signal Process. 18(3): 312-324 (2024) - [j394]Kangjian Chen, Chenhao Qi, Geoffrey Ye Li, Octavia A. Dobre:
Near-Field Multiuser Communications Based on Sparse Arrays. IEEE J. Sel. Top. Signal Process. 18(4): 619-632 (2024) - [j393]Jiabao Gao, Xiaoming Chen, Geoffrey Ye Li:
Deep unfolding based channel estimation for wideband terahertz near-field massive MIMO systems. Frontiers Inf. Technol. Electron. Eng. 25(8): 1162-1172 (2024) - [j392]Mohamed A. ElMossallamy, Miao Pan, Riku Jäntti, Karim G. Seddik, Geoffrey Ye Li, Zhu Han:
Noncoherent Frequency-Shift Keying for Ambient Backscatter Over OFDM Signals. IEEE Open J. Commun. Soc. 5: 5219-5231 (2024) - [j391]Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li, Jianhua Lu, Guangyi Liu, Zhimin Zheng, Chengkang Pan:
Brain-Inspired Image Perceptual Quality Assessment Based on EEG: A QoE Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8424-8441 (2024) - [j390]Zhijin Qin, Le Liang, Zijing Wang, Shi Jin, Xiaoming Tao, Wen Tong, Geoffrey Ye Li:
AI Empowered Wireless Communications: From Bits to Semantics. Proc. IEEE 112(7): 621-652 (2024) - [j389]Xinyu Wei, Biing-Hwang Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Accretionary Learning With Deep Neural Networks With Applications. IEEE Trans. Cogn. Commun. Netw. 10(2): 660-673 (2024) - [j388]Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
RIS-Enhanced Semantic Communications Adaptive to User Requirements. IEEE Trans. Commun. 72(7): 4134-4148 (2024) - [j387]Weixiao Wan, Wei Chen, Shiyue Wang, Geoffrey Ye Li, Bo Ai:
Deep Plug-and-Play Prior for Multitask Channel Reconstruction in Massive MIMO Systems. IEEE Trans. Commun. 72(7): 4149-4162 (2024) - [j386]Zhixiong Chen, Wenqiang Yi, Hyundong Shin, Arumugam Nallanathan, Geoffrey Ye Li:
Efficient Wireless Federated Learning With Partial Model Aggregation. IEEE Trans. Commun. 72(10): 6271-6286 (2024) - [j385]Shixiong Wang, Wei Dai, Haowei Wang, Geoffrey Ye Li:
Robust Waveform Design for Integrated Sensing and Communication. IEEE Trans. Signal Process. 72: 3122-3138 (2024) - [j384]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, Arash Behboodi:
Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems. IEEE Trans. Wirel. Commun. 23(3): 1871-1885 (2024) - [j383]Kangjian Chen, Chenhao Qi, Octavia A. Dobre, Geoffrey Ye Li:
Simultaneous Beam Training and Target Sensing in ISAC Systems With RIS. IEEE Trans. Wirel. Commun. 23(4): 2696-2710 (2024) - [j382]Houssem Sifaou, Geoffrey Ye Li:
Over-The-Air Federated Learning Over Scalable Cell-Free Massive MIMO. IEEE Trans. Wirel. Commun. 23(5): 4214-4227 (2024) - [j381]Kangjian Chen, Chenhao Qi, Cheng-Xiang Wang, Geoffrey Ye Li:
Beam Training and Tracking for Extremely Large-Scale MIMO Communications. IEEE Trans. Wirel. Commun. 23(5): 5048-5062 (2024) - [j380]Jieyu Liao, Junhui Zhao, Feifei Gao, Geoffrey Ye Li:
Deep Learning Aided Low Complex Breadth-First Tree Search for MIMO Detection. IEEE Trans. Wirel. Commun. 23(6): 6266-6278 (2024) - [j379]Wei Chen, Weixiao Wan, Shiyue Wang, Peng Sun, Geoffrey Ye Li, Bo Ai:
CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback. IEEE Trans. Wirel. Commun. 23(7): 7599-7611 (2024) - [j378]Kangjian Chen, Chenhao Qi, Octavia A. Dobre, Geoffrey Ye Li:
Triple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO. IEEE Trans. Wirel. Commun. 23(8): 8556-8570 (2024) - [j377]Chao Xu, Luping Xiang, Shinya Sugiura, Robert G. Maunder, Lie-Liang Yang, Dusit Niyato, Geoffrey Ye Li, Robert Schober, Lajos Hanzo:
Noncoherent Orthogonal Time Frequency Space Modulation. IEEE Trans. Wirel. Commun. 23(8): 10072-10090 (2024) - [j376]Yanzhen Liu, Zhijin Qin, Geoffrey Ye Li:
Energy-Efficient Distributed Spiking Neural Network for Wireless Edge Intelligence. IEEE Trans. Wirel. Commun. 23(9): 10683-10697 (2024) - [j375]Bo Lin, Chuanbin Zhao, Feifei Gao, Geoffrey Ye Li, Jing Qian, Hao Wang:
Environment Reconstruction Based on Multi-User Selection and Multi-Modal Fusion in ISAC. IEEE Trans. Wirel. Commun. 23(10): 15083-15095 (2024) - [j374]Ding Shi, Linfeng Song, Xiqi Gao, Jiaheng Wang, Mats Bengtsson, Geoffrey Ye Li, Xiang-Gen Xia:
Beam Structured Channel Estimation for HF Skywave Massive MIMO-OFDM Communications. IEEE Trans. Wirel. Commun. 23(11): 16301-16315 (2024) - [j373]Diluka Loku Galappaththige, Shayan Zargari, Chintha Tellambura, Geoffrey Ye Li:
Near-Field ISAC: Beamforming for Multi-Target Detection. IEEE Wirel. Commun. Lett. 13(7): 1938-1942 (2024) - [c240]Shixiong Wang, Wei Dai, Geoffrey Ye Li:
Distributionally Robust Outlier-Aware Receive Beamforming. MLSP 2024: 1-6 - [c239]Tianxin Wang, Shuo Wang, Xudong Wang, Geoffrey Ye Li:
Collaborative Learning for Less Online Retraining of Neural Receivers. MLSP 2024: 1-6 - [c238]Kangjian Chen, Chenhao Qi, Geoffrey Ye Li, Octavia A. Dobre:
Antenna Position Optimization of Sparse Arrays for Near-Field Multiuser Communications. SPAWC 2024: 226-230 - [c237]Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li:
Federated Reinforcement Learning for Resource Allocation in V2X Networks. VTC Spring 2024: 1-5 - [c236]Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li:
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing. VTC Spring 2024: 1-5 - [i148]Yiyu Guo, Zhijin Qin, Xiaoming Tao, Geoffrey Ye Li:
Federated Multi-View Synthesizing for Metaverse. CoRR abs/2401.00859 (2024) - [i147]Kangjian Chen, Chenhao Qi, Octavia A. Dobre, Geoffrey Ye Li:
Triple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO. CoRR abs/2401.11195 (2024) - [i146]Khalid Albagami, Nguyen Van Huynh, Geoffrey Ye Li:
A Universal Deep Neural Network for Signal Detection in Wireless Communication Systems. CoRR abs/2404.02648 (2024) - [i145]Jiawei Cao, Chongtao Guo, Hao Li, Zhigang Wang, Houjun Wang, Geoffrey Ye Li:
Deep Learning based Performance Testing for Analog Integrated Circuits. CoRR abs/2406.00516 (2024) - [i144]Kangjian Chen, Chenhao Qi, Geoffrey Ye Li, Octavia A. Dobre:
Near-Field Multiuser Communications based on Sparse Arrays. CoRR abs/2406.09238 (2024) - [i143]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
BADM: Batch ADMM for Deep Learning. CoRR abs/2407.01640 (2024) - [i142]Yucheng Sheng, Kai Huang, Le Liang, Peng Liu, Shi Jin, Geoffrey Ye Li:
Beam Prediction based on Large Language Models. CoRR abs/2408.08707 (2024) - [i141]Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, Geoffrey Ye Li:
Fast Adaptation for Deep Learning-based Wireless Communications. CoRR abs/2409.04302 (2024) - [i140]Yucheng Sheng, Le Liang, Hao Ye, Shi Jin, Geoffrey Ye Li:
Semantic Communication for Cooperative Perception using HARQ. CoRR abs/2409.09042 (2024) - [i139]Kangjian Chen, Chenhao Qi, Jingjia Huang, Octavia A. Dobre, Geoffrey Ye Li:
Near-Field Communications for Extremely Large-Scale MIMO: A Beamspace Perspective. CoRR abs/2410.11736 (2024) - 2023
- [j372]Geoffrey Ye Li, Yonina C. Eldar, Arash Behboodi, Guangyi Liu:
Guest Editorial: Semantic Communications: Transmission Beyond Shannon. IEEE Commun. Mag. 61(11): 34-35 (2023) - [j371]Farhad Mirkarimi, Chintha Tellambura, Geoffrey Ye Li:
Deep MMSE Estimation for Data Detection. IEEE Commun. Lett. 27(1): 180-184 (2023) - [j370]Chongtao Guo, Zhengchao Li, Le Liang, Geoffrey Ye Li:
Reinforcement Learning-Based Power Control for Reliable Mission-Critical Wireless Transmission. IEEE Internet Things J. 10(23): 20868-20883 (2023) - [j369]Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Wireless Semantic Communications for Video Conferencing. IEEE J. Sel. Areas Commun. 41(1): 230-244 (2023) - [j368]Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li:
Semantic Communication With Memory. IEEE J. Sel. Areas Commun. 41(8): 2658-2669 (2023) - [j367]Bowen Zhang, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications With Variable-Length Coding for Extended Reality. IEEE J. Sel. Top. Signal Process. 17(5): 1038-1051 (2023) - [j366]Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kai-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu:
6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Netw. 37(5): 71-80 (2023) - [j365]Chongtao Guo, Xijun Wang, Le Liang, Geoffrey Ye Li:
Age of Information, Latency, and Reliability in Intelligent Vehicular Networks. IEEE Netw. 37(6): 109-116 (2023) - [j364]Shenglong Zhou, Geoffrey Ye Li:
Federated Learning Via Inexact ADMM. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9699-9708 (2023) - [j363]Ouya Wang, Jiabao Gao, Geoffrey Ye Li:
Learn to Adapt to New Environments From Past Experience and Few Pilot Blocks. IEEE Trans. Cogn. Commun. Netw. 9(2): 373-385 (2023) - [j362]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, Arash Behboodi:
Deep Learning-Based Channel Estimation for Wideband Hybrid MmWave Massive MIMO. IEEE Trans. Commun. 71(6): 3679-3693 (2023) - [j361]Junchao Shi, An-An Lu, Wen Zhong, Xiqi Gao, Geoffrey Ye Li:
Robust WMMSE Precoder With Deep Learning Design for Massive MIMO. IEEE Trans. Commun. 71(7): 3963-3976 (2023) - [j360]Kaidi Xu, Nguyen Van Huynh, Geoffrey Ye Li:
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet. IEEE Trans. Commun. 71(10): 5893-5903 (2023) - [j359]Shenglong Zhou, Geoffrey Ye Li:
FedGiA: An Efficient Hybrid Algorithm for Federated Learning. IEEE Trans. Signal Process. 71: 1493-1508 (2023) - [j358]Linghui Ge, Hua Zhang, Jun-Bo Wang, Geoffrey Ye Li:
Reconfigurable Wireless Relaying With Multi-UAV-Carried Intelligent Reflecting Surfaces. IEEE Trans. Veh. Technol. 72(4): 4932-4947 (2023) - [j357]Xianglong Yu, An-An Lu, Chen Sun, Xiqi Gao, Geoffrey Ye Li:
Downlink Transmitter Design With Statistical CSI for HF Skywave Massive MIMO. IEEE Trans. Veh. Technol. 72(11): 14396-14410 (2023) - [j356]Hengtao He, Rui Wang, Weijie Jin, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach. IEEE Trans. Wirel. Commun. 22(3): 1808-1822 (2023) - [j355]Ding Shi, Linfeng Song, Wenqi Zhou, Xiqi Gao, Cheng-Xiang Wang, Geoffrey Ye Li:
Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications. IEEE Trans. Wirel. Commun. 22(6): 4074-4089 (2023) - [j354]Bowen Zhang, Houssem Sifaou, Geoffrey Ye Li:
CSI-Fingerprinting Indoor Localization via Attention-Augmented Residual Convolutional Neural Network. IEEE Trans. Wirel. Commun. 22(8): 5583-5597 (2023) - [j353]Zhenzi Weng, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu, Geoffrey Ye Li:
Deep Learning Enabled Semantic Communications With Speech Recognition and Synthesis. IEEE Trans. Wirel. Commun. 22(9): 6227-6240 (2023) - [j352]Xianglong Yu, Xiqi Gao, An-An Lu, Jinlin Zhang, Hebing Wu, Geoffrey Ye Li:
Robust Precoding for HF Skywave Massive MIMO. IEEE Trans. Wirel. Commun. 22(10): 6691-6705 (2023) - [j351]Qiyu Hu, Guangyi Zhang, Zhijin Qin, Yunlong Cai, Guanding Yu, Geoffrey Ye Li:
Robust Semantic Communications With Masked VQ-VAE Enabled Codebook. IEEE Trans. Wirel. Commun. 22(12): 8707-8722 (2023) - [j350]Qiang Hu, Feifei Gao, Hao Zhang, Geoffrey Ye Li, Zongben Xu:
Understanding Deep MIMO Detection. IEEE Trans. Wirel. Commun. 22(12): 9626-9639 (2023) - [j349]Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Wireless Semantic Transmission via Revising Modules in Conventional Communications. IEEE Wirel. Commun. 30(3): 28-34 (2023) - [j348]Yimeng Ge, Jiancun Fan, Geoffrey Ye Li, Li-Chun Wang:
Intelligent Reflecting Surface-Enhanced UAV Communications: Advances, Challenges, and Prospects. IEEE Wirel. Commun. 30(6): 119-126 (2023) - [c235]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Few-Shot Learning for New Environment Adaptation. GLOBECOM 2023: 351-356 - [c234]Peiwen Jiang, Chao-Kai Wen, Shi Jin, Xiao Li, Geoffrey Ye Li:
RIS-Enhanced Semantic Image Transmission Based on Reinforcement Learning. GLOBECOM 2023: 3130-3135 - [c233]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li:
AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation. ICC Workshops 2023: 60-65 - [c232]Zhixiong Chen, Wenqiang Yi, Arumugam Nallanathan, Geoffrey Ye Li:
Is Partial Model Aggregation Energy-Efficient for Federated Learning Enabled Wireless Networks? ICC 2023: 166-171 - [c231]Kaiwen Yu, Chonghao Zhao, Gang Wu, Geoffrey Ye Li:
Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation. ICC 2023: 1830-1836 - [c230]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Effective Adaptation into New Environment with Few Shots: Applications to OFDM Receiver Design. MLSP 2023: 1-6 - [c229]Bowen Zhang, Zhijin Qin, Geoffrey Ye Li:
Semantic-Aware Image Compressed Sensing. MLSP 2023: 1-6 - [c228]Ding Shi, Linfeng Song, Xiqi Gao, Jiaheng Wang, Mats Bengtsson, Geoffrey Ye Li:
Beam Structured Signal Detection for HF Skywave Massive MIMO Communications. VTC Fall 2023: 1-6 - [i138]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li:
AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation. CoRR abs/2302.00461 (2023) - [i137]Lei Yan, Zhijin Qin, Rui Zhang, Yongzhao Li, Xiaoming Tao, Geoffrey Ye Li:
QoE-based Semantic-Aware Resource Allocation for Multi-Task Networks. CoRR abs/2305.06543 (2023) - [i136]Qiyu Hu, Yunlong Cai, Guangyi Zhang, Guanding Yu, Geoffrey Ye Li:
Deep-Unfolding for Next-Generation Transceivers. CoRR abs/2305.08303 (2023) - [i135]Jiabao Gao, Xiaoming Cheng, Geoffrey Ye Li:
Deep Unfolding-Based Channel Estimation for Wideband TeraHertz Near-Field Massive MIMO Systems. CoRR abs/2308.13381 (2023) - [i134]Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li:
Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing. CoRR abs/2308.16671 (2023) - [i133]Kai Huang, Le Liang, Shi Jin, Geoffrey Ye Li:
Meta Reinforcement Learning for Fast Spectrum Sharing in Vehicular Networks. CoRR abs/2309.17185 (2023) - [i132]Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li:
Federated Reinforcement Learning for Resource Allocation in V2X Networks. CoRR abs/2310.09858 (2023) - [i131]Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming. CoRR abs/2310.12343 (2023) - [i130]Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li:
Semantic Communication for Cooperative Perception based on Importance Map. CoRR abs/2311.06498 (2023) - [i129]Chenhao Qi, Jing Wang, Leyi Lyu, Lei Tan, Jinming Zhang, Geoffrey Ye Li:
Key Issues in Wireless Transmission for NTN-Assisted Internet of Things. CoRR abs/2311.15060 (2023) - [i128]Kangjian Chen, Chenhao Qi, Octavia A. Dobre, Geoffrey Ye Li:
Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS. CoRR abs/2311.15062 (2023) - [i127]Kangjian Chen, Chenhao Qi, Cheng-Xiang Wang, Geoffrey Ye Li:
Beam Training and Tracking for Extremely Large-Scale MIMO Communications. CoRR abs/2311.15066 (2023) - 2022
- [j347]Mohamed A. ElMossallamy, Radwa Sultan, Karim G. Seddik, Geoffrey Ye Li, Zhu Han:
Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels. Intell. Converged Networks 3(1): 64-73 (2022) - [j346]Na Su, Jun-Bo Wang, Cheng Zeng, Hua Zhang, Min Lin, Geoffrey Ye Li:
Unmanned-Surface-Vehicle-Aided Maritime Data Collection Using Deep Reinforcement Learning. IEEE Internet Things J. 9(20): 19773-19786 (2022) - [j345]Kaiwen Yu, Gang Wu, Shaoqian Li, Geoffrey Ye Li:
Local Observations-Based Energy-Efficient Multi-Cell Beamforming via Multi-Agent Reinforcement Learning. J. Commun. Inf. Networks 7(2): 170-180 (2022) - [j344]Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani:
Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 40(1): 1-4 (2022) - [j343]Changfeng Ding, Jun-Bo Wang, Hua Zhang, Min Lin, Geoffrey Ye Li:
Joint MIMO Precoding and Computation Resource Allocation for Dual-Function Radar and Communication Systems With Mobile Edge Computing. IEEE J. Sel. Areas Commun. 40(7): 2085-2102 (2022) - [j342]Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani:
The Fifth Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 40(8): 2251-2253 (2022) - [j341]Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani:
Series Editorial The Sixth Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 40(9): 2507-2509 (2022) - [j340]Hao Ye, Le Liang, Geoffrey Ye Li:
Decentralized Federated Learning With Unreliable Communications. IEEE J. Sel. Top. Signal Process. 16(3): 487-500 (2022) - [j339]Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li, Jianhua Lu:
Human Perception Measurement by Electroencephalography for Facial Image Compression. IEEE Signal Process. Lett. 29: 2148-2152 (2022) - [j338]Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang:
Deep Learning-Based Implicit CSI Feedback in Massive MIMO. IEEE Trans. Commun. 70(2): 935-950 (2022) - [j337]Chenhao Qi, Qiang Liu, Xianghao Yu, Geoffrey Ye Li:
Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO. IEEE Trans. Commun. 70(6): 4121-4133 (2022) - [j336]Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Source-Channel Coding for Sentence Semantic Transmission With HARQ. IEEE Trans. Commun. 70(8): 5225-5240 (2022) - [j335]Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems. IEEE Trans. Commun. 70(12): 8017-8045 (2022) - [j334]Jieyu Liao, Junhui Zhao, Feifei Gao, Geoffrey Ye Li:
Deep Learning Aided Low Complex Sphere Decoding for MIMO Detection. IEEE Trans. Commun. 70(12): 8046-8059 (2022) - [j333]Shenglong Zhou, Ziyan Luo, Naihua Xiu, Geoffrey Ye Li:
Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization. IEEE Trans. Signal Process. 70: 1593-1608 (2022) - [j332]Yiqing Zhang, Jianyong Sun, Jiang Xue, Geoffrey Ye Li, Zongben Xu:
Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection. IEEE Trans. Signal Process. 70: 4483-4497 (2022) - [j331]Jiasi Zhou, Yanjing Sun, Chintha Tellambura, Geoffrey Ye Li:
Joint User Grouping, Sparse Beamforming, and Subcarrier Allocation for D2D Underlaid Cache-Enabled C-RANs With Rate Splitting. IEEE Trans. Veh. Technol. 71(4): 3792-3806 (2022) - [j330]Changfeng Ding, Jun-Bo Wang, Hua Zhang, Min Lin, Geoffrey Ye Li:
Joint Optimization of Transmission and Computation Resources for Satellite and High Altitude Platform Assisted Edge Computing. IEEE Trans. Wirel. Commun. 21(2): 1362-1377 (2022) - [j329]Jiabao Gao, Mu Hu, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation. IEEE Trans. Wirel. Commun. 21(3): 1823-1835 (2022) - [j328]Xianglong Yu, An-An Lu, Xiqi Gao, Geoffrey Ye Li, Guoru Ding, Cheng-Xiang Wang:
HF Skywave Massive MIMO Communication. IEEE Trans. Wirel. Commun. 21(4): 2769-2785 (2022) - [j327]Yanzhen Liu, Qiyu Hu, Yunlong Cai, Guanding Yu, Geoffrey Ye Li:
Deep-Unfolding Beamforming for Intelligent Reflecting Surface Assisted Full-Duplex Systems. IEEE Trans. Wirel. Commun. 21(7): 4784-4800 (2022) - [j326]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
Deep Learning-Based Channel Estimation for Massive MIMO With Hybrid Transceivers. IEEE Trans. Wirel. Commun. 21(7): 5162-5174 (2022) - [j325]Wen Tong, Geoffrey Ye Li:
Nine Challenges in Artificial Intelligence and Wireless Communications for 6G. IEEE Wirel. Commun. 29(4): 140-145 (2022) - [j324]Mengyuan Lee, Guanding Yu, Huaiyu Dai, Geoffrey Ye Li:
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. IEEE Wirel. Commun. 29(5): 12-19 (2022) - [j323]Amirhossein Mohammadian, Chintha Tellambura, Geoffrey Ye Li:
Deep Learning LMMSE Joint Channel, PN, and IQ Imbalance Estimator for Multicarrier MIMO Full-Duplex Systems. IEEE Wirel. Commun. Lett. 11(1): 111-115 (2022) - [j322]Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li:
Task-Oriented Multi-User Semantic Communications for VQA. IEEE Wirel. Commun. Lett. 11(3): 553-557 (2022) - [j321]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
Online Deep Neural Network for Optimization in Wireless Communications. IEEE Wirel. Commun. Lett. 11(5): 933-937 (2022) - [j320]Lei Yan, Zhijin Qin, Rui Zhang, Yongzhao Li, Geoffrey Ye Li:
Resource Allocation for Text Semantic Communications. IEEE Wirel. Commun. Lett. 11(7): 1394-1398 (2022) - [j319]Nguyen Van Huynh, Geoffrey Ye Li:
Transfer Learning for Signal Detection in Wireless Networks. IEEE Wirel. Commun. Lett. 11(11): 2325-2329 (2022) - [c227]Xianglong Yu, Xiqi Gao, An-An Lu, Jinlin Zhang, Hebing Wu, Geoffrey Ye Li:
Robust Precoding for HF Skywave Massive MIMO With Imperfect CSI. GLOBECOM 2022: 1637-1642 - [c226]Lei Yan, Zhijin Qin, Rui Zhang, Yongzhao Li, Geoffrey Ye Li:
QoE-Aware Resource Allocation for Semantic Communication Networks. GLOBECOM 2022: 3272-3277 - [c225]Boxiao Shen, Yongpeng Wu, Wenjun Zhang, Geoffrey Ye Li, Jianping An, Chengwen Xing:
LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS. GLOBECOM 2022: 3308-3313 - [c224]Ding Shi, Linfeng Song, Wenqi Zhou, Xiqi Gao, Cheng-Xiang Wang, Geoffrey Ye Li:
Channel Estimation for HF Skywave Massive MIMO-OFDM with Triple-Beam Based Channel Model. GLOBECOM 2022: 5402-5407 - [c223]Houssem Sifaou, Geoffrey Ye Li:
Robust Federated Learning via Over-the-Air Computation. MLSP 2022: 1-6 - [c222]Qiyu Hu, Guangyi Zhang, Zhijin Qin, Yunlong Cai, Guanding Yu, Geoffrey Ye Li:
Robust Semantic Communications Against Semantic Noise. VTC Fall 2022: 1-6 - [c221]Haoran Peng, Li-Chun Wang, Geoffrey Ye Li, Ang-Hsun Tsai:
Long-Lasting UAV-aided RIS Communications based on SWIPT. WCNC 2022: 1844-1849 - [i126]Zhijin Qin, Xiaoming Tao, Jianhua Lu, Geoffrey Ye Li:
Semantic Communications: Principles and Challenges. CoRR abs/2201.01389 (2022) - [i125]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers. CoRR abs/2202.03220 (2022) - [i124]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
Online Deep Neural Network for Optimization in Wireless Communications. CoRR abs/2202.03244 (2022) - [i123]Chongtao Guo, Zhengchao Li, Le Liang, Geoffrey Ye Li:
Reinforcement Learning Based Power Control for Reliable Wireless Transmission. CoRR abs/2202.06345 (2022) - [i122]Chenhao Qi, Kangjian Chen, Octavia A. Dobre, Geoffrey Ye Li:
Hierarchical Codebook based Multiuser Beam Training for Millimeter Massive MIMO. CoRR abs/2203.06438 (2022) - [i121]Zhaohui Li, Chenhao Qi, Geoffrey Ye Li:
Low-Complexity Multicast Beamforming for Millimeter Wave Communications. CoRR abs/2203.06450 (2022) - [i120]Ding Shi, Linfeng Song, Wenqi Zhou, Xiqi Gao, Cheng-Xiang Wang, Geoffrey Ye Li:
Channel Acquisition for HF Skywave Massive MIMO-OFDM Communications. CoRR abs/2204.01329 (2022) - [i119]Zhixiong Chen, Wenqiang Yi, Arumugam Nallanathan, Geoffrey Ye Li:
Federated Learning for Energy-limited Wireless Networks: A Partial Model Aggregation Approach. CoRR abs/2204.09746 (2022) - [i118]Shenglong Zhou, Geoffrey Ye Li:
Federated Learning via Inexact ADMM. CoRR abs/2204.10607 (2022) - [i117]Shenglong Zhou, Geoffrey Ye Li:
Efficient and Convergent Federated Learning. CoRR abs/2205.01438 (2022) - [i116]Houssem Sifaou, Geoffrey Ye Li:
Over-The-Air Federated Learning under Byzantine Attacks. CoRR abs/2205.02949 (2022) - [i115]Zhenzi Weng, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu, Geoffrey Ye Li:
Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis. CoRR abs/2205.04603 (2022) - [i114]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, Arash Behboodi:
Deep Learning-based Channel Estimation for Wideband Hybrid MmWave Massive MIMO. CoRR abs/2205.05202 (2022) - [i113]Bowen Zhang, Houssem Sifaou, Geoffrey Ye Li:
CSI-based Indoor Localization via Attention-Augmented Residual Convolutional Neural Network. CoRR abs/2205.05775 (2022) - [i112]Qiyu Hu, Guangyi Zhang, Zhijin Qin, Yunlong Cai, Guanding Yu, Geoffrey Ye Li:
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook. CoRR abs/2206.04011 (2022) - [i111]Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu:
0/1 Deep Neural Networks via Block Coordinate Descent. CoRR abs/2206.09379 (2022) - [i110]Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems. CoRR abs/2206.14383 (2022) - [i109]Chenhao Qi, Qiang Liu, Xianghao Yu, Geoffrey Ye Li:
Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO. CoRR abs/2208.00714 (2022) - [i108]Boxiao Shen, Yongpeng Wu, Wenjun Zhang, Geoffrey Ye Li, Jianping An, Chengwen Xing:
LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS. CoRR abs/2208.01828 (2022) - [i107]Shenglong Zhou, Geoffrey Ye Li:
Exact Penalty Method for Federated Learning. CoRR abs/2208.11231 (2022) - [i106]Ouya Wang, Jiabao Gao, Geoffrey Ye Li:
Learn to Adapt to New Environment from Past Experience and Few Pilot. CoRR abs/2209.02649 (2022) - [i105]Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang:
Contextual Transformer for Offline Meta Reinforcement Learning. CoRR abs/2211.08016 (2022) - [i104]Jiabao Gao, Caijun Zhong, Geoffrey Ye Li, Joseph B. Soriaga, Arash Behboodi:
Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems. CoRR abs/2211.14866 (2022) - [i103]Mengyuan Lee, Guanding Yu, Huaiyu Dai, Geoffrey Ye Li:
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. CoRR abs/2212.04047 (2022) - [i102]Houssem Sifaou, Geoffrey Ye Li:
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO. CoRR abs/2212.06482 (2022) - [i101]Kaidi Xu, Nguyen Van Huynh, Geoffrey Ye Li:
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet. CoRR abs/2212.07967 (2022) - 2021
- [j318]Xiaohu You, Cheng-Xiang Wang, Jie Huang, Xiqi Gao, Zaichen Zhang, Mao Wang, Yongming Huang, Chuan Zhang, Yanxiang Jiang, Jiaheng Wang, Min Zhu, Bin Sheng, Dongming Wang, Zhiwen Pan, Pengcheng Zhu, Yang Yang, Zening Liu, Ping Zhang, Xiaofeng Tao, Shaoqian Li, Zhi Chen, Xinying Ma, Chih-Lin I, Shuangfeng Han, Ke Li, Chengkang Pan, Zhiming Zheng, Lajos Hanzo, Xuemin (Sherman) Shen, Yingjie Jay Guo, Zhiguo Ding, Harald Haas, Wen Tong, Peiying Zhu, Ganghua Yang, Jue Wang, Erik G. Larsson, Hien Quoc Ngo, Wei Hong, Haiming Wang, Debin Hou, Jixin Chen, Zhe Chen, Zhangcheng Hao, Geoffrey Ye Li, Rahim Tafazolli, Yue Gao, H. Vincent Poor, Gerhard P. Fettweis, Ying-Chang Liang:
Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts. Sci. China Inf. Sci. 64(1) (2021) - [j317]Chenhao Qi, Peihao Dong, Wenyan Ma, Hua Zhang, Zaichen Zhang, Geoffrey Ye Li:
Acquisition of channel state information for mmWave massive MIMO: traditional and machine learning-based approaches. Sci. China Inf. Sci. 64(8) (2021) - [j316]Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems. IEEE Commun. Lett. 25(6): 2024-2028 (2021) - [j315]Fangfang Liu, Jiaxi Pan, Xiangwei Zhou, Geoffrey Ye Li:
Atmospheric Ducting Effect in Wireless Communications: Challenges and Opportunities. J. Commun. Inf. Networks 6(2): 101-109 (2021) - [j314]Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani:
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 39(1): 1-3 (2021) - [j313]Feifei Gao, Bolei Wang, Chengwen Xing, Jianping An, Geoffrey Ye Li:
Wideband Beamforming for Hybrid Massive MIMO Terahertz Communications. IEEE J. Sel. Areas Commun. 39(6): 1725-1740 (2021) - [j312]Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani:
Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 39(7): 1855-1857 (2021) - [j311]Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani:
Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 39(8): 2267-2270 (2021) - [j310]Bruno Clerckx, Yijie Mao, Robert Schober, Eduard A. Jorswieck, David J. Love, Jinhong Yuan, Lajos Hanzo, Geoffrey Ye Li, Erik G. Larsson, Giuseppe Caire:
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques. IEEE Open J. Commun. Soc. 2: 1310-1343 (2021) - [j309]Hao Ye, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning Based End-to-End Wireless Communication Systems Without Pilots. IEEE Trans. Cogn. Commun. Netw. 7(3): 702-714 (2021) - [j308]Rui Liu, Guanding Yu, Jiantao Yuan, Geoffrey Ye Li:
Resource Management for Millimeter-Wave Ultra-Reliable and Low-Latency Communications. IEEE Trans. Commun. 69(2): 1094-1108 (2021) - [j307]Peiwen Jiang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Dual CNN-Based Channel Estimation for MIMO-OFDM Systems. IEEE Trans. Commun. 69(9): 5859-5872 (2021) - [j306]Junchao Shi, Wenjin Wang, Xinping Yi, Xiqi Gao, Geoffrey Ye Li:
Deep Learning-Based Robust Precoding for Massive MIMO. IEEE Trans. Commun. 69(11): 7429-7443 (2021) - [j305]Wenqian Wu, Xiqi Gao, Chen Sun, Geoffrey Ye Li:
Shallow Underwater Acoustic Massive MIMO Communications. IEEE Trans. Signal Process. 69: 1124-1139 (2021) - [j304]Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning Enabled Semantic Communication Systems. IEEE Trans. Signal Process. 69: 2663-2675 (2021) - [j303]Ziyi Gong, Liang Wu, Zaichen Zhang, Jian Dang, Bingcheng Zhu, Hao Jiang, Geoffrey Ye Li:
Joint TOA and DOA Estimation With CFO Compensation Using Large-Scale Array. IEEE Trans. Signal Process. 69: 4204-4218 (2021) - [j302]Chang-Jen Wang, Chao-Kai Wen, Shang-Ho Tsai, Shi Jin, Geoffrey Ye Li:
Phase Retrieval Using Expectation Consistent Signal Recovery Algorithm Based on Hypernetwork. IEEE Trans. Signal Process. 69: 5770-5783 (2021) - [j301]Mohamed A. ElMossallamy, Karim G. Seddik, Wei Chen, Li Wang, Geoffrey Ye Li, Zhu Han:
RIS Optimization on the Complex Circle Manifold for Interference Mitigation in Interference Channels. IEEE Trans. Veh. Technol. 70(6): 6184-6189 (2021) - [j300]Qingming Wang, Hua Zhang, Jun-Bo Wang, Fan Yang, Geoffrey Ye Li:
Joint Beamforming for Integrated Mmwave Satellite-Terrestrial Self-Backhauled Networks. IEEE Trans. Veh. Technol. 70(9): 9103-9117 (2021) - [j299]Haibo Wang, Zaichen Zhang, Bingcheng Zhu, Jian Dang, Liang Wu, Lei Wang, Kehan Zhang, Yidi Zhang, Geoffrey Ye Li:
Performance Analysis of Multi-Branch Reconfigurable Intelligent Surfaces-Assisted Optical Wireless Communication System in Environment With Obstacles. IEEE Trans. Veh. Technol. 70(10): 9986-10001 (2021) - [j298]Xi Yang, Shi Jin, Geoffrey Ye Li, Xiao Li:
Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems. IEEE Trans. Veh. Technol. 70(11): 11632-11647 (2021) - [j297]Junchao Shi, Wenjin Wang, Xinping Yi, Jiaheng Wang, Xiqi Gao, Qing Liu, Geoffrey Ye Li:
Learning to Compute Ergodic Rate for Multi-Cell Scheduling in Massive MIMO. IEEE Trans. Wirel. Commun. 20(2): 785-797 (2021) - [j296]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Graph Embedding-Based Wireless Link Scheduling With Few Training Samples. IEEE Trans. Wirel. Commun. 20(4): 2282-2294 (2021) - [j295]Qiang Hu, Feifei Gao, Hao Zhang, Shi Jin, Geoffrey Ye Li:
Deep Learning for Channel Estimation: Interpretation, Performance, and Comparison. IEEE Trans. Wirel. Commun. 20(4): 2398-2412 (2021) - [j294]Peiwen Jiang, Tianqi Wang, Bin Han, Xuanxuan Gao, Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results. IEEE Trans. Wirel. Commun. 20(11): 7655-7668 (2021) - [j293]Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. IEEE Wirel. Commun. 28(5): 134-140 (2021) - [j292]Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Shi Jin, Qiang Cheng, Geoffrey Ye Li, Tie Jun Cui:
On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Networks. IEEE Wirel. Commun. 28(6): 94-101 (2021) - [j291]Mohamed A. ElMossallamy, Hongliang Zhang, Radwa Sultan, Karim G. Seddik, Lingyang Song, Geoffrey Ye Li, Zhu Han:
On Spatial Multiplexing Using Reconfigurable Intelligent Surfaces. IEEE Wirel. Commun. Lett. 10(2): 226-230 (2021) - [j290]Chongtao Guo, Wei He, Geoffrey Ye Li:
Optimal Fairness-Aware Resource Supply and Demand Management for Mobile Edge Computing. IEEE Wirel. Commun. Lett. 10(3): 678-682 (2021) - [j289]Yuyao Sun, Wei Xu, Le Liang, Ning Wang, Geoffrey Ye Li, Xiaohu You:
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems. IEEE Wirel. Commun. Lett. 10(8): 1840-1844 (2021) - [j288]Amirhossein Mohammadian, Chintha Tellambura, Geoffrey Ye Li:
Deep Learning-Based Phase Noise Compensation in Multicarrier Systems. IEEE Wirel. Commun. Lett. 10(10): 2110-2114 (2021) - [c220]Wei Ci, Chenhao Qi, Geoffrey Ye Li, Shiwen Mao:
Hybrid Beamforming Design for Covert Multicast mmWave Massive MIMO Communications. GLOBECOM 2021: 1-6 - [c219]Jiabao Gao, Mu Hu, Caijun Zhong, Zhaoyang Zhang, Geoffrey Ye Li:
An Attention-Aided Deep Neural Network Design for Channel Estimation in Massive MIMO Systems. GLOBECOM 2021: 1-6 - [c218]Shuzhan Hu, Yiping Duan, Xiaoming Tao, Geoffrey Ye Li, Jianhua Lu:
Brain-Inspired Image Quality Assessment Method based on Electroencephalography Feature Learning. GLOBECOM 2021: 1-6 - [c217]Weijie Jin, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Adaptive Channel Estimation Based on Model-Driven Deep Learning for Wideband mmWave Systems. GLOBECOM 2021: 1-6 - [c216]Qiang Liu, Chenhao Qi, Xianghao Yu, Geoffrey Ye Li:
MmWave MIMO Hybrid Precoding Design Using Phase Shifters and Switches. GLOBECOM 2021: 1-6 - [c215]Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications for Speech Recognition. GLOBECOM 2021: 1-6 - [c214]Xianglong Yu, An-An Lu, Xiqi Gao, Geoffrey Ye Li, Guoru Ding, Cheng-Xiang Wang:
Massive MIMO Communication Over HF Skywave Channels. GLOBECOM 2021: 1-6 - [c213]Junchao Shi, Wenjin Wang, Xinping Yi, Xiqi Gao, Geoffrey Ye Li:
Deep Learning Based Robust Precoder Design for Massive MIMO Downlink. ICC 2021: 1-6 - [c212]Bolei Wang, Feifei Gao, Chengwen Xing, Jianping An, Geoffrey Ye Li:
Wideband Beamforming for Hybrid Phased Array Terahertz Systems. ICC 2021: 1-6 - [c211]Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications for Speech Signals. ICC 2021: 1-6 - [i100]Chang-Jen Wang, Chao-Kai Wen, Shang-Ho Tsai, Shi Jin, Geoffrey Ye Li:
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork. CoRR abs/2101.04348 (2021) - [i99]Bruno Clerckx, Yijie Mao, Robert Schober, Eduard A. Jorswieck, David J. Love, Jinhong Yuan, Lajos Hanzo, Geoffrey Ye Li, Erik G. Larsson, Giuseppe Caire:
Is NOMA Efficient in Multi-Antenna Networks? A Critical Look at Next Generation Multiple Access Techniques. CoRR abs/2101.04802 (2021) - [i98]Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Shi Jin, Qiang Cheng, Geoffrey Ye Li, Tie Jun Cui:
On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network. CoRR abs/2103.03753 (2021) - [i97]Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems. CoRR abs/2104.11541 (2021) - [i96]Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang:
Deep Learning-based Implicit CSI Feedback in Massive MIMO. CoRR abs/2105.10100 (2021) - [i95]Yuyao Sun, Wei Xu, Le Liang, Ning Wang, Geoffrey Ye Li, Xiaohu You:
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems. CoRR abs/2105.10283 (2021) - [i94]Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications for Speech Recognition. CoRR abs/2107.11190 (2021) - [i93]Hao Ye, Le Liang, Geoffrey Li:
Decentralized Federated Learning with Unreliable Communications. CoRR abs/2108.02397 (2021) - [i92]Jiabao Gao, Mu Hu, Caijun Zhong, Geoffrey Ye Li, Zhaoyang Zhang:
An Attention-Aided Deep Learning Framework for Massive MIMO Channel Estimation. CoRR abs/2108.09430 (2021) - [i91]Xi Yang, Shi Jin, Geoffrey Ye Li, Xiao Li:
Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems. CoRR abs/2109.08804 (2021) - [i90]Wen Tong, Geoffrey Ye Li:
Nine Challenges in Artificial Intelligence and Wireless Communications for 6G. CoRR abs/2109.11320 (2021) - [i89]Shenglong Zhou, Geoffrey Ye Li:
Communication-Efficient ADMM-based Federated Learning. CoRR abs/2110.15318 (2021) - [i88]Houssem Sifaou, Geoffrey Ye Li:
Robust Federated Learning via Over-The-Air Computation. CoRR abs/2111.01221 (2021) - [i87]Xinyu Wei, Biing-Hwang Fred Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li:
Accretionary Learning with Deep Neural Networks. CoRR abs/2111.10857 (2021) - 2020
- [j287]Peihao Dong, Hua Zhang, Geoffrey Ye Li:
Framework on Deep Learning-Based Joint Hybrid Processing for mmWave Massive MIMO Systems. IEEE Access 8: 106023-106035 (2020) - [j286]Jieyu Liao, Junhui Zhao, Feifei Gao, Geoffrey Ye Li:
A Model-Driven Deep Learning Method for Massive MIMO Detection. IEEE Commun. Lett. 24(8): 1724-1728 (2020) - [j285]Hongyuan Ye, Feifei Gao, Jing Qian, Hao Wang, Geoffrey Ye Li:
Deep Learning-Based Denoise Network for CSI Feedback in FDD Massive MIMO Systems. IEEE Commun. Lett. 24(8): 1742-1746 (2020) - [j284]Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Model-Driven Deep Learning for Massive MU-MIMO With Finite-Alphabet Precoding. IEEE Commun. Lett. 24(10): 2216-2220 (2020) - [j283]Le Liang, Hao Ye, Guanding Yu, Geoffrey Ye Li:
Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks. Proc. IEEE 108(2): 341-356 (2020) - [j282]Yue Gao, Ekram Hossain, Geoffrey Ye Li, Kevin W. Sowerby, Carlo S. Regazzoni, Lin Zhang:
IEEE TCCN Special Section Editorial: Evolution of Cognitive Radio to AI-Enabled Radio and Networks. IEEE Trans. Cogn. Commun. Netw. 6(1): 1-5 (2020) - [j281]Zhijin Qin, Xiangwei Zhou, Lin Zhang, Yue Gao, Ying-Chang Liang, Geoffrey Ye Li:
20 Years of Evolution From Cognitive to Intelligent Communications. IEEE Trans. Cogn. Commun. Netw. 6(1): 6-20 (2020) - [j280]Mohamed A. ElMossallamy, Hongliang Zhang, Lingyang Song, Karim G. Seddik, Zhu Han, Geoffrey Ye Li:
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities. IEEE Trans. Cogn. Commun. Netw. 6(3): 990-1002 (2020) - [j279]Ying-Chang Liang, Qianqian Zhang, Erik G. Larsson, Geoffrey Ye Li:
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks. IEEE Trans. Cogn. Commun. Netw. 6(4): 1242-1255 (2020) - [j278]Liang Wang, Hao Ye, Le Liang, Geoffrey Ye Li:
Learn to Compress CSI and Allocate Resources in Vehicular Networks. IEEE Trans. Commun. 68(6): 3640-3653 (2020) - [j277]Rui Liu, Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
User Association for Millimeter-Wave Networks: A Machine Learning Approach. IEEE Trans. Commun. 68(7): 4162-4174 (2020) - [j276]Yunfeng He, Jing Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Model-Driven DNN Decoder for Turbo Codes: Design, Simulation, and Experimental Results. IEEE Trans. Commun. 68(10): 6127-6140 (2020) - [j275]Shunqing Zhang, Shugong Xu, Geoffrey Ye Li, Ender Ayanoglu:
First 20 Years of Green Radios. IEEE Trans. Green Commun. Netw. 4(1): 1-15 (2020) - [j274]Kangjian Chen, Chenhao Qi, Geoffrey Ye Li:
Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems With Quantized Phase Shifters. IEEE Trans. Signal Process. 68: 170-180 (2020) - [j273]Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Model-Driven Deep Learning for MIMO Detection. IEEE Trans. Signal Process. 68: 1702-1715 (2020) - [j272]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Learning to Branch: Accelerating Resource Allocation in Wireless Networks. IEEE Trans. Veh. Technol. 69(1): 958-970 (2020) - [j271]Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Reinforcement Learning Based Cooperative Coded Caching Under Dynamic Popularities in Ultra-Dense Networks. IEEE Trans. Veh. Technol. 69(5): 5442-5456 (2020) - [j270]Peihao Dong, Hua Zhang, Qihui Wu, Geoffrey Ye Li:
Spatially Correlated Massive MIMO Relay Systems With Low-Resolution ADCs. IEEE Trans. Veh. Technol. 69(6): 6541-6553 (2020) - [j269]Peizhe Liang, Jiancun Fan, Wenhan Shen, Zhijin Qin, Geoffrey Ye Li:
Deep Learning and Compressive Sensing-Based CSI Feedback in FDD Massive MIMO Systems. IEEE Trans. Veh. Technol. 69(8): 9217-9222 (2020) - [j268]Zhaohui Li, Chenhao Qi, Geoffrey Ye Li:
Low-Complexity Multicast Beamforming for Millimeter Wave Communications. IEEE Trans. Veh. Technol. 69(10): 12317-12320 (2020) - [j267]Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis. IEEE Trans. Wirel. Commun. 19(4): 2827-2840 (2020) - [j266]Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels. IEEE Trans. Wirel. Commun. 19(5): 3133-3143 (2020) - [j265]Wenyan Ma, Chenhao Qi, Geoffrey Ye Li:
High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO Systems. IEEE Trans. Wirel. Commun. 19(5): 3517-3529 (2020) - [j264]Qiyu Hu, Yunlong Cai, An Liu, Guanding Yu, Geoffrey Ye Li:
Low-Complexity Joint Resource Allocation and Trajectory Design for UAV-Aided Relay Networks With the Segmented Ray-Tracing Channel Model. IEEE Trans. Wirel. Commun. 19(9): 6179-6195 (2020) - [j263]Chenhao Qi, Kangjian Chen, Octavia A. Dobre, Geoffrey Ye Li:
Hierarchical Codebook-Based Multiuser Beam Training for Millimeter Wave Massive MIMO. IEEE Trans. Wirel. Commun. 19(12): 8142-8152 (2020) - [j262]Zhijin Qin, Geoffrey Ye Li:
Pathway to Intelligent Radio. IEEE Wirel. Commun. 27(1): 9-15 (2020) - [j261]Jiajia Guo, Jinghe Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Compression and Acceleration of Neural Networks for Communications. IEEE Wirel. Commun. 27(4): 110-117 (2020) - [j260]Wenyan Ma, Chenhao Qi, Geoffrey Ye Li:
Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO. IEEE Wirel. Commun. Lett. 9(6): 875-878 (2020) - [j259]Yuyao Sun, Wei Xu, Lisheng Fan, Geoffrey Ye Li, George K. Karagiannidis:
AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems. IEEE Wirel. Commun. Lett. 9(12): 2192-2196 (2020) - [c210]Ziyan He, Liang Wang, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Resource Allocation based on Graph Neural Networks in Vehicular Communications. GLOBECOM 2020: 1-5 - [c209]Yuhan Sun, Chenhao Qi, Geoffrey Ye Li:
Computation-Aided Adaptive Codebook Design for Millimeter Wave Massive MIMO. GLOBECOM 2020: 1-6 - [c208]Huiqiang Xie, Zhijin Qin, Geoffrey Ye Li, Biing-Hwang Juang:
Deep Learning based Semantic Communications: An Initial Investigation. GLOBECOM 2020: 1-6 - [c207]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Over-the-Air Computation. GLOBECOM 2020: 1-6 - [c206]Bingcheng Zhu, Zaichen Zhang, Lei Wang, Jian Dang, Liang Wu, Julian Cheng, Geoffrey Ye Li:
Right Tail Approximation for the Distribution of Lognormal Sum and Its Applications. GLOBECOM (Workshops) 2020: 1-6 - [c205]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Wireless Link Scheduling for D2D Communications with Graph Embedding Technique. ICC 2020: 1-6 - [c204]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Bilinear Convolutional Auto-encoder based Pilot-free End-to-end Communication Systems. ICC 2020: 1-6 - [c203]Bolei Wang, Feifei Gao, Geoffrey Ye Li:
Energy-Focusing Window Based Power Leakage Elimination for Wideband mmWave Massive MIMO -OFDM Systems. ICNC 2020: 944-949 - [i86]Jiajia Guo, Xi Yang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
DL-based CSI Feedback and Cooperative Recovery in Massive MIMO. CoRR abs/2003.03303 (2020) - [i85]Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Reinforcement Learning Based Cooperative Coded Caching under Dynamic Popularities in Ultra-Dense Networks. CoRR abs/2003.03758 (2020) - [i84]Peihao Dong, Hua Zhang, Qihui Wu, Geoffrey Ye Li:
Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs. CoRR abs/2004.07563 (2020) - [i83]Zhijin Qin, Geoffrey Ye Li, Hao Ye:
Federated Learning and Wireless Communications. CoRR abs/2005.05265 (2020) - [i82]Junchao Shi, Wenjin Wang, Xinping Yi, Xiqi Gao, Geoffrey Ye Li:
Robust Precoding in Massive MIMO: A Deep Learning Approach. CoRR abs/2005.13134 (2020) - [i81]Peihao Dong, Hua Zhang, Geoffrey Ye Li:
Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems. CoRR abs/2006.03215 (2020) - [i80]Chenhao Qi, Peihao Dong, Wenyan Ma, Hua Zhang, Zaichen Zhang, Geoffrey Ye Li:
Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches. CoRR abs/2006.08894 (2020) - [i79]Hengtao He, Mengjiao Zhang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Model-Driven Deep Learning for Massive MU-MIMO with Finite-Alphabet Precoding. CoRR abs/2006.15495 (2020) - [i78]Hengtao He, Rui Wang, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
Beamspace Channel Estimation in Terahertz Communications: A Model-Driven Unsupervised Learning Approach. CoRR abs/2006.16628 (2020) - [i77]Ying-Chang Liang, Qianqian Zhang, Erik G. Larsson, Geoffrey Ye Li:
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks. CoRR abs/2007.01506 (2020) - [i76]Yuyao Sun, Wei Xu, Lisheng Fan, Geoffrey Ye Li, George K. Karagiannidis:
AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems. CoRR abs/2008.07112 (2020) - [i75]Tong Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Xin Wang, Xiaolin Hou:
Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems. CoRR abs/2011.07242 (2020) - [i74]Zhenzi Weng, Zhijin Qin, Geoffrey Ye Li:
Semantic Communications for Speech Signals. CoRR abs/2012.05369 (2020)
2010 – 2019
- 2019
- [j258]Jing Zhang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test. IEEE Access 7: 58901-58914 (2019) - [j257]Jiaqi Liu, Gang Wu, Sa Xiao, Xiangwei Zhou, Geoffrey Ye Li, Shengjie Guo, Shaoqian Li:
Joint Power Allocation and User Scheduling for Device-to-Device-Enabled Heterogeneous Networks With Non-Orthogonal Multiple Access. IEEE Access 7: 62657-62671 (2019) - [j256]Xiaoyu Sun, Xiqi Gao, Geoffrey Ye Li, Wei Han:
Agglomerative User Clustering and Cluster Scheduling for FDD Massive MIMO Systems. IEEE Access 7: 86522-86533 (2019) - [j255]Anders Frøytlog, Thomas Foss, Ole Bakker, Geir Jevne, Magne Arild Haglund, Frank Y. Li, Joaquim Oller, Geoffrey Ye Li:
Ultra-Low Power Wake-up Radio for 5G IoT. IEEE Commun. Mag. 57(3): 111-117 (2019) - [j254]Jiancun Fan, Susu Chen, Xinmin Luo, Ying Zhang, Geoffrey Ye Li:
A Machine Learning Approach for Hierarchical Localization Based on Multipath MIMO Fingerprints. IEEE Commun. Lett. 23(10): 1765-1768 (2019) - [j253]Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li:
Deep Learning Based Channel Estimation for Massive MIMO With Mixed-Resolution ADCs. IEEE Commun. Lett. 23(11): 1989-1993 (2019) - [j252]Yuwen Yang, Feifei Gao, Geoffrey Ye Li, Mengnan Jian:
Deep Learning-Based Downlink Channel Prediction for FDD Massive MIMO System. IEEE Commun. Lett. 23(11): 1994-1998 (2019) - [j251]Le Liang, Hao Ye, Geoffrey Ye Li:
Toward Intelligent Vehicular Networks: A Machine Learning Framework. IEEE Internet Things J. 6(1): 124-135 (2019) - [j250]Qiyu Hu, Yunlong Cai, Guanding Yu, Zhijin Qin, Minjian Zhao, Geoffrey Ye Li:
Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems. IEEE Internet Things J. 6(2): 1879-1892 (2019) - [j249]Jinping Niu, Geoffrey Ye Li:
An Overview on Backscatter Communications. J. Commun. Inf. Networks 4(2): 1-14 (2019) - [j248]Yuwen Huang, Yuan Liu, Geoffrey Ye Li:
Energy Efficiency of Distributed Antenna Systems With Wireless Power Transfer. IEEE J. Sel. Areas Commun. 37(1): 89-99 (2019) - [j247]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Low-Latency Vehicular Communications: An Effective Capacity Perspective. IEEE J. Sel. Areas Commun. 37(4): 905-917 (2019) - [j246]Le Liang, Hao Ye, Geoffrey Ye Li:
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning. IEEE J. Sel. Areas Commun. 37(10): 2282-2292 (2019) - [j245]Fangyu Cui, Zhijin Qin, Yunlong Cai, Minjian Zhao, Geoffrey Ye Li:
Rethinking Outage Constraints for Resource Management in NOMA Networks. IEEE J. Sel. Top. Signal Process. 13(3): 423-435 (2019) - [j244]Boya Di, Lingyang Song, Yonghui Li, Geoffrey Ye Li:
TCM-NOMA: Joint Multi-User Codeword Design and Detection in Trellis-Coded Modulation-Based NOMA for Beyond 5G. IEEE J. Sel. Top. Signal Process. 13(3): 766-780 (2019) - [j243]Peihao Dong, Hua Zhang, Geoffrey Ye Li, Ivan Simões Gaspar, Navid Naderializadeh:
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems. IEEE J. Sel. Top. Signal Process. 13(5): 989-1000 (2019) - [j242]Jindan Xu, Wei Xu, Hua Zhang, Geoffrey Ye Li, Xiaohu You:
Performance Analysis of Multi-Cell Millimeter-Wave Massive MIMO Networks With Low-Precision ADCs. IEEE Trans. Commun. 67(1): 302-317 (2019) - [j241]Mohamed A. ElMossallamy, Miao Pan, Riku Jäntti, Karim G. Seddik, Geoffrey Ye Li, Zhu Han:
Noncoherent Backscatter Communications Over Ambient OFDM Signals. IEEE Trans. Commun. 67(5): 3597-3611 (2019) - [j240]Fangyu Cui, Yunlong Cai, Zhijin Qin, Minjian Zhao, Geoffrey Ye Li:
Multiple Access for Mobile-UAV Enabled Networks: Joint Trajectory Design and Resource Allocation. IEEE Trans. Commun. 67(7): 4980-4994 (2019) - [j239]Rui Liu, Qimei Chen, Guanding Yu, Geoffrey Ye Li:
Joint User Association and Resource Allocation for Multi-Band Millimeter-Wave Heterogeneous Networks. IEEE Trans. Commun. 67(12): 8502-8516 (2019) - [j238]Yinghao Ge, Weile Zhang, Feifei Gao, Geoffrey Ye Li:
Frequency Synchronization for Uplink Massive MIMO With Adaptive MUI Suppression in Angle Domain. IEEE Trans. Signal Process. 67(8): 2143-2158 (2019) - [j237]Chengwen Xing, Xin Zhao, Wei Xu, Xiaodai Dong, Geoffrey Ye Li:
A Framework on Hybrid MIMO Transceiver Design Based on Matrix-Monotonic Optimization. IEEE Trans. Signal Process. 67(13): 3531-3546 (2019) - [j236]Bolei Wang, Xuan Li, Feifei Gao, Geoffrey Ye Li:
Power Leakage Elimination for Wideband mmWave Massive MIMO-OFDM Systems: An Energy-Focusing Window Approach. IEEE Trans. Signal Process. 67(21): 5479-5494 (2019) - [j235]Bolei Wang, Mengnan Jian, Feifei Gao, Geoffrey Ye Li, Hai Lin:
Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems. IEEE Trans. Signal Process. 67(23): 5893-5908 (2019) - [j234]Canjian Zheng, Daquan Feng, Shengli Zhang, Xiang-Gen Xia, Gongbin Qian, Geoffrey Ye Li:
Energy Efficient V2X-Enabled Communications in Cellular Networks. IEEE Trans. Veh. Technol. 68(1): 554-564 (2019) - [j233]Hai-xia Peng, Le Liang, Xuemin Shen, Geoffrey Ye Li:
Vehicular Communications: A Network Layer Perspective. IEEE Trans. Veh. Technol. 68(2): 1064-1078 (2019) - [j232]Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Reinforcement Learning Based Resource Allocation for V2V Communications. IEEE Trans. Veh. Technol. 68(4): 3163-3173 (2019) - [j231]Peihao Dong, Hua Zhang, Wei Xu, Geoffrey Ye Li:
Coexistence of Direct and Relayed Transmission Users in Multi-Cell Massive MIMO Systems. IEEE Trans. Veh. Technol. 68(4): 3728-3746 (2019) - [j230]Jinke Ren, Guanding Yu, Yinghui He, Geoffrey Ye Li:
Collaborative Cloud and Edge Computing for Latency Minimization. IEEE Trans. Veh. Technol. 68(5): 5031-5044 (2019) - [j229]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for High-Reliability Low-Latency Vehicular Communications With Packet Retransmission. IEEE Trans. Veh. Technol. 68(7): 6219-6230 (2019) - [j228]Zhijin Qin, Yuanwei Liu, Geoffrey Ye Li, Julie A. McCann:
Performance Analysis of Clustered LoRa Networks. IEEE Trans. Veh. Technol. 68(8): 7616-7629 (2019) - [j227]Xiaoyu Sun, Chi Wu, Xiqi Gao, Geoffrey Ye Li:
Fingerprint-Based Localization for Massive MIMO-OFDM System With Deep Convolutional Neural Networks. IEEE Trans. Veh. Technol. 68(11): 10846-10857 (2019) - [j226]Tiankui Zhang, Xinyuan Fang, Yuanwei Liu, Geoffrey Ye Li, Wenjun Xu:
D2D-Enabled Mobile User Edge Caching: A Multi-Winner Auction Approach. IEEE Trans. Veh. Technol. 68(12): 12314-12328 (2019) - [j225]Boya Di, Hongliang Zhang, Lingyang Song, Yonghui Li, Geoffrey Ye Li:
Ultra-Dense LEO: Integrating Terrestrial-Satellite Networks Into 5G and Beyond for Data Offloading. IEEE Trans. Wirel. Commun. 18(1): 47-62 (2019) - [j224]Xuyao Sun, Chenhao Qi, Geoffrey Ye Li:
Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems. IEEE Trans. Wirel. Commun. 18(2): 1041-1053 (2019) - [j223]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for Vehicular Communications With Low Latency and High Reliability. IEEE Trans. Wirel. Commun. 18(8): 3887-3902 (2019) - [j222]Yuanwei Liu, Zhijin Qin, Yunlong Cai, Yue Gao, Geoffrey Ye Li, Arumugam Nallanathan:
UAV Communications Based on Non-Orthogonal Multiple Access. IEEE Wirel. Commun. 26(1): 52-57 (2019) - [j221]Zhijin Qin, Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning in Physical Layer Communications. IEEE Wirel. Commun. 26(2): 93-99 (2019) - [j220]Zhijin Qin, Frank Y. Li, Geoffrey Ye Li, Julie A. McCann, Qiang Ni:
Low-Power Wide-Area Networks for Sustainable IoT. IEEE Wirel. Commun. 26(3): 140-145 (2019) - [j219]Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu:
Model-Driven Deep Learning for Physical Layer Communications. IEEE Wirel. Commun. 26(5): 77-83 (2019) - [j218]Tianqi Wang, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning-Based CSI Feedback Approach for Time-Varying Massive MIMO Channels. IEEE Wirel. Commun. Lett. 8(2): 416-419 (2019) - [j217]Chongtao Guo, Le Liang, Geoffrey Ye Li:
Resource Allocation for V2X Communications: A Large Deviation Theory Perspective. IEEE Wirel. Commun. Lett. 8(4): 1108-1111 (2019) - [j216]Rui Liu, Guanding Yu, Geoffrey Ye Li:
User Association for Ultra-Dense mmWave Networks With Multi-Connectivity: A Multi-Label Classification Approach. IEEE Wirel. Commun. Lett. 8(6): 1579-1582 (2019) - [c202]Tong Chen, Jiajia Guo, Shi Jin, Chao-Kai Wen, Geoffrey Ye Li:
A Novel Quantization Method for Deep Learning-Based Massive MIMO CSI Feedback. GlobalSIP 2019: 1-5 - [c201]Kangjian Chen, Chenhao Qi, Octavia A. Dobre, Geoffrey Li:
Simultaneous Multiuser Beam Training Using Adaptive Hierarchical Codebook for mmWave Massive MIMO. GLOBECOM 2019: 1-6 - [c200]Mohamed A. ElMossallamy, Zhu Han, Miao Pan, Riku Jäntti, Karim G. Seddik, Geoffrey Ye Li:
Noncoherent MIMO Codes Construction Using Autoencoders. GLOBECOM 2019: 1-6 - [c199]Xiaoyu Sun, Chi Wu, Xiqi Gao, Geoffrey Ye Li:
Deep Convolutional Neural Networks Enabled Fingerprint Localization for Massive MIMO-OFDM System. GLOBECOM 2019: 1-6 - [c198]Peihao Dong, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, Ivan Simões Gaspar:
Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation. ICASSP 2019: 4529-4533 - [c197]Jing Zhang, Hengtao He, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li:
Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM. ICASSP 2019: 8414-8418 - [c196]Mohamed A. ElMossallamy, Zhu Han, Miao Pan, Riku Jäntti, Karim G. Seddik, Geoffrey Ye Li:
Noncoherent Frequency Shift Keying for Ambient Backscatter Over OFDM Signals. ICC 2019: 1-6 - [c195]Xinyuan Fang, Tiankui Zhang, Yuanwei Liu, Geoffrey Ye Li, Zhimin Zeng:
Multi-Winner Auction Based Mobile User Caching in D2D-Enabled Cellular Networks. ICC 2019: 1-6 - [c194]Le Liang, Hao Ye, Geoffrey Ye Li:
Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks. SPAWC 2019: 1-5 - [c193]Hao Ye, Le Liang, Geoffrey Ye Li:
Circular Convolutional Auto-Encoder for Channel Coding. SPAWC 2019: 1-5 - [c192]Fangyu Cui, Zhijin Qin, Yunlong Cai, Minjian Zhao, Geoffrey Ye Li:
Resource Allocation for NOMA Networks under Alternative Outage Constraints. VTC Fall 2019: 1-6 - [c191]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Accelerating Resource Allocation for D2D Communications Using Imitation Learning. VTC Fall 2019: 1-5 - [c190]Jinke Ren, Yinghui He, Guanding Yu, Geoffrey Ye Li:
Joint Communication and Computation Resource Allocation for Cloud-Edge Collaborative System. WCNC 2019: 1-6 - [i73]Xuyao Sun, Chenhao Qi, Geoffrey Ye Li:
Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems. CoRR abs/1901.01421 (2019) - [i72]Boya Di, Lingyang Song, Yonghui Li, Geoffrey Ye Li:
TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G. CoRR abs/1902.01107 (2019) - [i71]Bolei Wang, Mengnan Jian, Feifei Gao, Geoffrey Ye Li, Shi Jin, Hai Lin:
Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems. CoRR abs/1903.01340 (2019) - [i70]Mengyuan Lee, Guanding Yu, Geoffrey Ye Li:
Learning to Branch: Accelerating Resource Allocation in Wireless Networks. CoRR abs/1903.01819 (2019) - [i69]Hao Ye, Le Liang, Geoffrey Ye Li, Biing-Hwang Fred Juang:
Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel. CoRR abs/1903.02551 (2019) - [i68]