Actor-Critic Methods for IRS Design in Correlated Channel Environments: A Closer Look Into the Neural Tangent Kernel of the Critic

The article studies the design of an Intelligent Reflecting Surface (IRS) in order to support a Multiple-Input-Single-Output (MISO) communication system operating in a mobile, spatiotemporally correlated channel environment. The design objective is to maximize the expected sum of Signal-to-Noise Rat...

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Veröffentlicht in:	IEEE transactions on signal processing 2023, Vol.71, p.4029-4044
Hauptverfasser:	Evmorfos, Spilios, Petropulu, Athina P., Poor, H. Vincent
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Communications systems Correlation Deep learning Divergence Intelligent Reflecting Surfaces IRS parameter design Kernel Kernels Machine learning Markov processes Neural Tangent Kernels reinforcement learning Signal processing algorithms Signal to noise ratio Spatiotemporal phenomena Supervised learning
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