Deep Learning Frameworks for Solving Infeasible Optimization Problems in Vehicular Communications

Resource allocation in vehicular communication often encounters stringent constraints that are hard to satisfy due to high mobility and a complicated communication environment, making the optimization problem infeasible. However, even in such infeasible scenarios, the resource allocation strategy sh...

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Detalles Bibliográficos

Principais autores:	Woongsup Lee, Kisong Lee
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Open Journal of the Communications Society
Assuntos:	Deep learning infeasible optimization problem vehicular communications energy efficiency spectral efficiency
Acceso en liña:	https://ieeexplore.ieee.org/document/10534869/
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