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4. A Zeroth-Order Learning Algorithm For Ergodic Optimization Of Wireless Systems With No Models And No Gradients

A Zeroth-Order Learning Algorithm For Ergodic Optimization Of Wireless Systems With No Models And No Gradients

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IEEE ICASSP 2020 Virtual Conference May 2020

Optimal resource allocation in real-world wireless systems is rather challenging, not only due to the unavailability of accurate statistical channel models, but also because expressions of maximal or achievable information rates are most often unknown, or

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A Zeroth-Order Learning Algorithm For Ergodic Optimization Of Wireless Systems With No Models And No Gradients

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Optimal resource allocation in real-world wireless systems is rather challenging, not only due to the unavailability of accurate statistical channel models, but also because expressions of maximal or achievable information rates are most often unknown, or