Lightweight deep reinforcement learning for dynamic resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) enhances the quality of user services by deploying wealth of resources near vehicles. However, due to highly dynamic and complex nature of vehicular networks, centralized decision-making for resource allocation proves inadequate within VECs. Conversely, allocating reso...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
KeAi Communications Co., Ltd.
2025-10-01
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| Серии: | Digital Communications and Networks |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2352864825000823 |
| Метки: |
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