.png){kind=icon}
返回
PDRAS: Priority-Based Dynamic Resource Allocation Scheme in 5G Network Slicing
.png){kind=icon}
PRE
AI
DOI：10.1007/s10922-022-09681-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In 5G network slicing environments, if insufficient resources are allocated to the associated resource-intensive service slices, its quality of service (QoS) can be considerably degraded. In this paper, we propose a priority-based dynamic resource allocation scheme (PDRAS), in which a resource management agent maintains slicing information such as priorities, demand profiles, and average resource adjustment time to change allocated resources to slices. To maximize QoS of slices while maintaining the total amount of allocated resources below a certain level, a constrained Markov decision process problem is formulated and the optimal allocation policy is obtained using linear programming. Extensive evaluation results demonstrate that PDRAS with the optimal policy has better performance regarding QoS and the resource usage efficiency compared with other schemes.
Keyword:
Network slicing
Quality of service
Constrained Markov decision process
Resource allocation
期刊
IF:
3.9
论文数:
1.0K
被引数:
1.3K
机构
引用论文
.png){kind=icon}
分享收藏Three-Dimension Trajectory Design for Multi-UAV Wireless Network With Deep Reinforcement Learning
PREAI
分享收藏Dynamic Network Slicing and Resource Allocation in Mobile Edge Computing Systems移动边缘计算系统中的动态网络切片和资源分配
PREAI
分享收藏分享收藏
查看更多内容