Reinforcement Learning for Reconfigurable Intelligent Surfaces
Assisted Wireless Communication Systems
Produktform: E-Buch Text Elektronisches Buch in proprietärem
Optimizing RIS-Assisted Wireless Systems requires powerful algorithms to cope with the dynamic propagation environment. DRL is envisioned as one of the key enabling techniques to exploit the full potential of RIS-Assisted Wireless Communication Systems. It empowers these systems to intelligently adapt to dynamic wireless environments, maximize performance metrics, and adjusts their configurations to accommodate diverse use cases efficiently.
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