تقرير
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
| العنوان: | Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation |
|---|---|
| المؤلفون: | Xie, Yu, Wu, Qiong, Fan, Pingyi |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Machine Learning, Computer Science - Networking and Internet Architecture |
| الوصف: | With the increasing demand for multiple applications on internet of vehicles. It requires vehicles to carry out multiple computing tasks in real time. However, due to the insufficient computing capability of vehicles themselves, offloading tasks to vehicular edge computing (VEC) servers and allocating computing resources to tasks becomes a challenge. In this paper, a multi task digital twin (DT) VEC network is established. By using DT to develop offloading strategies and resource allocation strategies for multiple tasks of each vehicle in a single slot, an optimization problem is constructed. To solve it, we propose a multi-agent reinforcement learning method on the task offloading and resource allocation. Numerous experiments demonstrate that our method is effective compared to other benchmark algorithms. Comment: This paper has been submitted to ICICSP 2024. The source code has been released at:https://github.com/qiongwu86/Digital-Twin-Vehicular-Edge-Computing-Network_Task-Offloading-and-Resource-Allocation |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.11310 |
| رقم الأكسشن: | edsarx.2407.11310 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |