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Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration., , , , , and . IEEE Trans. Wirel. Commun., 19 (6): 3738-3752 (2020)Graph Neural Network based Beamforming in D2D Wireless Networks., , , and . WSA, page 1-5. VDE Berlag / IEEE, (2021)A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator., , and . ICC Workshops, page 1-6. IEEE, (2018)Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field., , and . ICCC Workshops, page 204-209. IEEE, (2019)Power grid observability redundancy analysis under communication constraints., , , and . ICCC, page 1-5. IEEE, (2017)Energy Hub Scheduling Method with Voltage Stability Considerations., , , and . ICCC Workshops, page 196-200. IEEE, (2018)Model-free Optimization and Experimental Validation of RIS-assisted Wireless Communications under Rich Multipath Fading., , , , , , , , and . CoRR, (2023)New communication strategy for spectrum sharing enabled smart grid cyber-physical system., , and . IET Cyper-Phys. Syst.: Theory & Appl., 2 (3): 136-142 (2017)Target identification in foliage environment using selected bispectra and Extreme Learning Machine., and . ICC Workshops, page 941-945. IEEE, (2013)Accurate Action Recommendations and Demand Response for Smart Homes via Knowledge Graphs., , , and . ICIT, page 1-6. IEEE, (2024)