ORCID as entered in ROS
![orcid_icon](/themes/resgate8/images/icons/ORCIDiD_icon24x24.png)
Select Publications
2023, Reconfigurable Intelligent Surface-aided Secret Key Generation in Multi-Cell Systems, , http://dx.doi.org/10.48550/arxiv.2303.12455
,2023, Next-Generation URLLC with Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access, , http://dx.doi.org/10.48550/arxiv.2303.04414
,2023, Exploiting Intelligent Reflecting Surfaces for Interference Channels with SWIPT, , http://dx.doi.org/10.48550/arxiv.2303.02950
,2023, Globally Optimal Resource Allocation Design for IRS-Assisted Multiuser Networks with Discrete Phase Shifts, , http://dx.doi.org/10.48550/arxiv.2302.12664
,2023, Integrated sensing and full-duplex communication: Joint transceiver beamforming and power allocation, , http://dx.doi.org/10.48550/arxiv.2302.09469
,2023, Uplink Power Control for Extremely Large-Scale MIMO with Multi-Agent Reinforcement Learning and Fuzzy Logic, , http://dx.doi.org/10.48550/arxiv.2302.09290
,2023, Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels, , http://dx.doi.org/10.48550/arxiv.2302.00847
,2022, Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach, , http://arxiv.org/abs/2212.13651v1
,2022, Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design, , http://dx.doi.org/10.48550/arxiv.2212.06463
,2022, Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty, , http://dx.doi.org/10.48550/arxiv.2212.06459
,2022, Asynchronous Cell-Free Massive MIMO With Rate-Splitting, , http://dx.doi.org/10.48550/arxiv.2212.02811
,2022, Federated Learning-Based Cell-Free Massive MIMO System for Privacy-Preserving, , http://dx.doi.org/10.48550/arxiv.2211.16945
,2022, Integrated Communication and Positioning Design in RIS-empowered OFDM System: a Correlation Dispersion Scheme, , http://dx.doi.org/10.48550/arxiv.2212.00241
,2022, Scalable Predictive Beamforming for IRS-Assisted Multi-User Communications: A Deep Learning Approach, , http://arxiv.org/abs/2211.12644v1
,2022, ISAC Meets SWIPT: Multi-functional Wireless Systems Integrating Sensing, Communication, and Powering, , http://dx.doi.org/10.48550/arxiv.2211.10605
,2022, Codebook-Based Solutions for Reconfigurable Intelligent Surfaces and Their Open Challenges, , http://dx.doi.org/10.48550/arxiv.2211.05976
,2022, Reconfigurable Intelligent Surface-Assisted Secret Key Generation in Spatially Correlated Channels, , http://dx.doi.org/10.48550/arxiv.2211.03132
,2022, Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization, , http://dx.doi.org/10.48550/arxiv.2211.00229
,2022, Integrated Sensing and Communication in Distributed Antenna Networks, , http://dx.doi.org/10.48550/arxiv.2210.14880
,2022, Decentralized Coordinated Precoding Design in Cell-Free Massive MIMO Systems for URLLC, , http://dx.doi.org/10.48550/arxiv.2209.14504
,2022, Uplink Performance of RIS-aided Cell-Free Massive MIMO System Over Spatially Correlated Channels, , http://dx.doi.org/10.48550/arxiv.2209.13845
,2022, Deep CLSTM for Predictive Beamforming in Integrated Sensing and Communication-enabled Vehicular Networks, , http://arxiv.org/abs/2209.12368v1
,2022, Grant-Free NOMA-OTFS Paradigm: Enabling Efficient Ubiquitous Access for LEO Satellite Internet-of-Things, , http://dx.doi.org/10.48550/arxiv.2209.12159
,2022, Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO, , http://dx.doi.org/10.48550/arxiv.2209.08456
,2022, On the Energy-Efficiency Maximization for IRS-Assisted MIMOME Wiretap Channels, , http://dx.doi.org/10.48550/arxiv.2209.00581
,2022, Rate-Splitting Multiple Access for Intelligent Reflecting Surface-Aided Secure Transmission, , http://dx.doi.org/10.48550/arxiv.2208.09818
,2022, Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection, , http://dx.doi.org/10.48550/arxiv.2208.07592
,2022, Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics, , http://dx.doi.org/10.48550/arxiv.2208.02724
,2022, Linear MIMO Precoders Design for Finite Alphabet Inputs via Model-Free Training, , http://dx.doi.org/10.48550/arxiv.2208.02466
,2022, Robust Transmit Beamforming for Secure Integrated Sensing and Communication, , http://dx.doi.org/10.48550/arxiv.2207.13863
,2022, Joint Transmit and Reflective Beamforming for RIS-assisted Secret Key Generation, , http://dx.doi.org/10.48550/arxiv.2207.11752
,2022, Symbol-wise Puncturing for HARQ Integration with Probabilistic Amplitude Shaping, , http://dx.doi.org/10.48550/arxiv.2207.11522
,2022, Cell-Free Massive MIMO with Multi-Antenna Users over Weichselberger Rician Channels, , http://dx.doi.org/10.48550/arxiv.2207.10891
,2022, Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization, , http://dx.doi.org/10.48550/arxiv.2207.03634
,2022, Robust and Secure Resource Allocation for ISAC Systems: A Novel Optimization Framework for Variable-Length Snapshots, , http://dx.doi.org/10.48550/arxiv.2206.13307
,2022, Resource Allocation and 3D Trajectory Design for Power-Efficient IRS-Assisted UAV-NOMA Communications, , http://dx.doi.org/10.48550/arxiv.2206.05872
,2022, Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning, , http://dx.doi.org/10.48550/arxiv.2206.05427
,2022, Security-Reliability Trade-Off Analysis for SWIPT- and AF-Based IoT Networks with Friendly Jammers, , http://dx.doi.org/10.48550/arxiv.2206.04428
,2022, Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification, , http://dx.doi.org/10.48550/arxiv.2206.01748
,2022, Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing, , http://dx.doi.org/10.48550/arxiv.2206.00422
,2022, Secure Communication in Multifunctional Active Intelligent Reflection Surface-assisted Systems, , http://dx.doi.org/10.48550/arxiv.2205.02512
,2022, Deep CSI Compression for Massive MIMO: A Self-information Model-driven Neural Network, , http://dx.doi.org/10.48550/arxiv.2204.11567
,2022, Beamforming Optimization for Active Intelligent Reflecting Surface-Aided SWIPT, , http://dx.doi.org/10.48550/arxiv.2203.16093
,2022, Optimal Precoding Design for Monostatic ISAC Systems: MSE Lower Bound and DoF Completion, , http://dx.doi.org/10.48550/arxiv.2203.06409
,2022, Data Augmentation Empowered Neural Precoding for Multiuser MIMO with MMSE Model, , http://dx.doi.org/10.48550/arxiv.2203.02196
,2022, Massive Unsourced Random Access over Rician Fading Channels: Design, Analysis, and Optimization, , http://dx.doi.org/10.48550/arxiv.2202.13316
,2022, Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks: A Deep Learning Approach, , http://arxiv.org/abs/2202.03811v1
,2022, Robotic Wireless Energy Transfer in Dynamic Environments: System Design and Experimental Validation, , http://dx.doi.org/10.48550/arxiv.2201.12702
,2022, Wireless Energy Transfer in RIS-Aided Cell-Free Massive MIMO Systems: Opportunities and Challenges, , http://dx.doi.org/10.48550/arxiv.2201.11302
,2022, Integrated Sensing and Communication with mmWave Massive MIMO: A Compressed Sampling Perspective, , http://dx.doi.org/10.48550/arxiv.2201.05766
,