A deep neural network is trained on prior channel responses and pilots to predict future V2I channel states for improved system performance.
A speculative study on 6G,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
DNN trained on WMMSE outputs approximates power allocation for V2X throughput maximization with reduced computation.
citing papers explorer
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Learning the Wireless V2I Channels Using Deep Neural Networks
A deep neural network is trained on prior channel responses and pilots to predict future V2I channel states for improved system performance.
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Deep Neural Network Based Resource Allocation for V2X Communications
DNN trained on WMMSE outputs approximates power allocation for V2X throughput maximization with reduced computation.