20 results on '"Ying-Chang Liang"'
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2. Multi-Tier Deep Reinforcement Learning for Non-Terrestrial Networks.
3. Deep-Reinforcement-Learning-Based Contract Incentive Mechanism for Joint Sensing and Computation in Mobile Crowdsourcing Networks.
4. Learning-Based Energy Minimization Optimization for IRS-Assisted Master-Auxiliary-UAV-Enabled Wireless-Powered IoT Networks.
5. Assistance-Transmission Tradeoff for RIS-Assisted Symbiotic Radios.
6. User Association for Symbiotic Spectrum and Service Sharing Among Multiple Mobile Network Operators.
7. Deep Learning-Empowered Semantic Communication Systems With a Shared Knowledge Base.
8. Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks.
9. Pilot Design and Signal Detection for Symbiotic Radio Over OFDM Carriers.
10. Multiple Access Design for Symbiotic Radios: Facilitating Massive IoT Connections With Cellular Networks.
11. Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach.
12. An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control.
13. A Deep Reinforcement Learning-Based Contract Incentive Mechanism for Mobile Crowdsourcing Networks.
14. Joint Device Participation, Dataset Management, and Resource Allocation in Wireless Federated Learning via Deep Reinforcement Learning.
15. BIO-SD: A Blockchain-Empowered Intelligent Resource Management for Symbiotic Devices.
16. Joint Optimization of Trajectory and Jamming Power for Multiple UAV-Aided Proactive Eavesdropping.
17. Channel Capacity of RIS-Assisted Symbiotic Radios With Imperfect Knowledge of Channels.
18. Over-the-Air Modulation for RIS-assisted Symbiotic Radios: Design, Analysis, and Optimization.
19. Power-Aware Sparse Reflect Beamforming in Active RIS-aided Interference Channels.
20. Towards Symbiotic SAGIN Through Inter-operator Resource and Service Sharing: Joint Orchestration of User Association and Radio Resources.
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