Symbol-based over-the-air digital predistortion using reinforcement learning

Y Wu, J Song, C Häger, U Gustavsson… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
We propose an over-the-air digital predistortion optimization algorithm using reinforcement
learning. Based on a symbol-based criterion, the algorithm minimizes the errors between …
被引用次数：3 相关文章
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[PDF][PDF] Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning

Y Wu, J Song, C Häger, U Gustavsson, AG i Amat… - 2022 - research.chalmers.se
We propose an over-the-air digital predistortion optimization algorithm using reinforcement
learning. Based on a symbol-based criterion, the algorithm minimizes the errors between …

Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning

Y Wu, J Song, C Häger, U Gustavsson… - arXiv preprint arXiv …, 2021 - arxiv.org
We propose an over-the-air digital predistortion optimization algorithm using reinforcement
learning. Based on a symbol-based criterion, the algorithm minimizes the errors between …

Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning

Y Wu, J Song, C Häger, U Gustavsson… - arXiv e …, 2021 - ui.adsabs.harvard.edu
We propose an over-the-air digital predistortion optimization algorithm using reinforcement
learning. Based on a symbol-based criterion, the algorithm minimizes the errors between …

Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning

Y Wu, J Song, C Häger, U Gustavsson… - IEEE International …, 2022 - swepub.kb.se
We propose an over-the-air digital predistortion optimization algorithm using reinforcement
learning. Based on a symbol-based criterion, the algorithm minimizes the errors between …