A Novel Resource Allocation Method for Network Slices in Power Grid

To allocate the network slice optimally, a two-phase optimal allocation approach is proposed to assign the network slices with users. First, the network slice allocation system in the core cloud network is modeled as a Markov process, and then the deep reinforcement learn is adopted to allocate the...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2021-01, Vol.1769 (1), p.12058
Main Authors: Shang, Fangjian, Li, Xin, Zhai, Di, Lu, Yang, Zhang, Dong Lei, Yuwen, Qian
Format: Article
Language:English
Subjects:
Iterative methods
Lagrange multiplier
Markov processes
Optimization
Physics
Resource allocation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To allocate the network slice optimally, a two-phase optimal allocation approach is proposed to assign the network slices with users. First, the network slice allocation system in the core cloud network is modeled as a Markov process, and then the deep reinforcement learn is adopted to allocate the network slices. In the second phase, we formulate the network slice allocation problem as Lagrange multipliers problem. The iteration method is designed to achieve the optimization problem. Numerical results demonstrate that the proposed approach can allocate the network slices at a high efficiency.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1769/1/012058