ORCID as entered in ROS

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2021, A Bayesian Tensor Approach to Enable RIS for 6G Massive Unsourced Random Access, http://dx.doi.org/10.48550/arxiv.2108.11123
,2021, IRS-aided Wireless Powered MEC Systems: TDMA or NOMA for Computation Offloading?, http://dx.doi.org/10.48550/arxiv.2108.06120
,2021, A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication, http://dx.doi.org/10.48550/arxiv.2108.04436
,2021, Cooperative Reflection Design with Timing Offsets in Distributed Multi-RIS Communications, http://dx.doi.org/10.48550/arxiv.2107.12717
,2021, Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach, http://dx.doi.org/10.48550/arxiv.2107.11015
,2021, An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks, http://dx.doi.org/10.48550/arxiv.2106.13476
,2021, LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?, http://dx.doi.org/10.48550/arxiv.2106.09897
,2021, Energy-Efficient Precoding in Electromagnetic Exposure-Constrained Uplink Multiuser MIMO, http://dx.doi.org/10.48550/arxiv.2105.15174
,2021, On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel, http://dx.doi.org/10.48550/arxiv.2105.14641
,2021, User Grouping and Reflective Beamforming for IRS-Aided URLLC, http://dx.doi.org/10.48550/arxiv.2105.12360
,2021, Integrated Sensing and Communication-assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks, http://dx.doi.org/10.1109/JSTSP.2021.3117404
,2021, Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications, http://arxiv.org/abs/2104.12309v1
,2021, Optimal Transmission of Multi-Quality Tiled 360 VR Video in MIMO-OFDMA Systems, http://dx.doi.org/10.48550/arxiv.2104.06183
,2021, Power-Efficient Wireless Streaming of Multi-Quality Tiled 360 VR Video in MIMO-OFDMA Systems, http://dx.doi.org/10.48550/arxiv.2105.09865
,2021, Probabilistic Accumulate-then-Transmit in Wireless-Powered Covert Communications, http://dx.doi.org/10.48550/arxiv.2104.06160
,2021, Massive Access in Media Modulation Based Massive Machine-Type Communications, http://dx.doi.org/10.48550/arxiv.2104.03874
,2021, Optimal Resource Allocation Design for Large IRS-Assisted SWIPT Systems: A Scalable Optimization Framework, http://dx.doi.org/10.48550/arxiv.2104.03346
,2021, Hybrid Relay-Reflecting Intelligent Surface-Aided Wireless Communications: Opportunities, Challenges, and Future Perspectives, http://dx.doi.org/10.48550/arxiv.2104.02039
,2021, Intelligent Reflecting Surface for Wireless Communication Security and Privacy, http://dx.doi.org/10.48550/arxiv.2103.16696
,2021, Max-Min Fair Energy-Efficient Beamforming Design for Intelligent Reflecting Surface-Aided SWIPT Systems with Non-linear Energy Harvesting Model, http://dx.doi.org/10.48550/arxiv.2103.12195
,2021, Smart and Reconfigurable Wireless Communications: From IRS Modeling to Algorithm Design, http://dx.doi.org/10.48550/arxiv.2103.07046
,2021, Multi-Objective Resource Allocation for IRS-Aided SWIPT, http://dx.doi.org/10.48550/arxiv.2103.06067
,2021, Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks, http://dx.doi.org/10.48550/arxiv.2103.01829
,2021, Energy Efficiency Maximization in the Uplink Delta-OMA Networks, http://dx.doi.org/10.48550/arxiv.2102.13359
,2021, Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications, http://dx.doi.org/10.36227/techrxiv.13774339
,2021, Edge Federated Learning Via Unit-Modulus Over-The-Air Computation, http://dx.doi.org/10.48550/arxiv.2101.12051
,2021, Performance Analysis and Window Design for Channel Estimation of OTFS Modulation, http://dx.doi.org/10.48550/arxiv.2101.11770
,2021, Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS, http://dx.doi.org/10.48550/arxiv.2101.10549
,2021, Off-grid Channel Estimation with Sparse Bayesian Learning for OTFS Systems, http://dx.doi.org/10.48550/arxiv.2101.05629
,2020, Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems, http://arxiv.org/abs/2012.00241v1
,2020, Physical Layer Security Enhancement With Reconfigurable Intelligent Surface-Aided Networks, http://dx.doi.org/10.48550/arxiv.2012.00269
,2020, Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission, http://dx.doi.org/10.48550/arxiv.2011.09724
,2020, Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms, http://dx.doi.org/10.48550/arxiv.2011.10197
,2020, Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive IoT Access, http://dx.doi.org/10.48550/arxiv.2011.07928
,2020, IRS-Assisted Green Communication Systems: Provable Convergence and Robust Optimization, http://dx.doi.org/10.48550/arxiv.2011.06484
,2020, Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications, http://arxiv.org/abs/2011.05574v1
,2020, Intelligent Reflecting Surface (IRS)-Aided Covert Wireless Communications with Delay Constraint, http://dx.doi.org/10.48550/arxiv.2011.03726
,2020, Hybrid MAP and PIC Detection for OTFS Modulation, http://arxiv.org/abs/2010.13030v1
,2020, Performance Analysis of Coded OTFS Systems over High-Mobility Channels, http://arxiv.org/abs/2010.13008v1
,2020, Transmitter and Receiver Window Designs for Orthogonal Time Frequency Space Modulation, http://dx.doi.org/10.48550/arxiv.2010.13005
,2020, Beamforming Optimization for IRS-Aided Communications with Transceiver Hardware Impairments, http://dx.doi.org/10.48550/arxiv.2010.11074
,2020, A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence, http://dx.doi.org/10.48550/arxiv.2010.09317
,2020, Weighted Sum-Rate Maximization for Multi-IRS-assisted Full-Duplex Systems with Hardware Impairments, http://dx.doi.org/10.48550/arxiv.2010.01339
,2020, Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming, http://dx.doi.org/10.48550/arxiv.2010.00865
,2020, Resource Allocation for Large IRS-Assisted SWIPT Systems with Non-linear Energy Harvesting Model, http://dx.doi.org/10.48550/arxiv.2010.00846
,2020, Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications, http://dx.doi.org/10.48550/arxiv.2009.07468
,2020, Location-aware Predictive Beamforming for UAV Communications: A Deep Learning Approach, http://arxiv.org/abs/2009.07478v1
,2020, Distributed IRS with Statistical Passive Beamforming for MISO Communications, http://dx.doi.org/10.48550/arxiv.2009.06286
,2020, Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications, http://dx.doi.org/10.1109/TWC.2020.3034895
,2020, On the Power Leakage Problem in Millimeter-Wave Massive MIMO with Lens Antenna Arrays, http://dx.doi.org/10.48550/arxiv.2008.10232
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