Research on dynamic allocation of network slicing resources based on OS-MBRL
With the growth of business needs of network users, how to achieve dynamic and accurate resource allocation of network slicing is a problem that must be solved in the current network. Considering that traditional modelless reinforcement learning methods require a longer model training time, a dynami...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Beijing Xintong Media Co., Ltd
2024-10-01
|
Series: | Dianxin kexue |
Subjects: | |
Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024228/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841528745836412928 |
---|---|
author | YAN Jiahui ZHONG Weixuan DONG Ligang JIANG Xian WANG Guangchang LU Lingrong |
author_facet | YAN Jiahui ZHONG Weixuan DONG Ligang JIANG Xian WANG Guangchang LU Lingrong |
author_sort | YAN Jiahui |
collection | DOAJ |
description | With the growth of business needs of network users, how to achieve dynamic and accurate resource allocation of network slicing is a problem that must be solved in the current network. Considering that traditional modelless reinforcement learning methods require a longer model training time, a dynamic resource allocation method based on OS-MBRL was proposed. The online support vector machines algorithm was utilized to construct a system model that could handle dynamically changing data streams and continuously update the model to adapt to new data, ensuring a lower number of SLA violations when allocating fewer resources. Simulation experiment results show that compared with NAF algorithm, DQN algorithm, and TD3 algorithm, the proposed method can reduce SLA violations by up to 80% and resource allocation by 9%. |
format | Article |
id | doaj-art-53bf8081457240e4a5deabe9993ee748 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2024-10-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-53bf8081457240e4a5deabe9993ee7482025-01-15T03:34:11ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-10-0140617776757331Research on dynamic allocation of network slicing resources based on OS-MBRLYAN JiahuiZHONG WeixuanDONG LigangJIANG XianWANG GuangchangLU LingrongWith the growth of business needs of network users, how to achieve dynamic and accurate resource allocation of network slicing is a problem that must be solved in the current network. Considering that traditional modelless reinforcement learning methods require a longer model training time, a dynamic resource allocation method based on OS-MBRL was proposed. The online support vector machines algorithm was utilized to construct a system model that could handle dynamically changing data streams and continuously update the model to adapt to new data, ensuring a lower number of SLA violations when allocating fewer resources. Simulation experiment results show that compared with NAF algorithm, DQN algorithm, and TD3 algorithm, the proposed method can reduce SLA violations by up to 80% and resource allocation by 9%.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024228/network slicingresource allocationreinforcement learningonline SVM algorithm |
spellingShingle | YAN Jiahui ZHONG Weixuan DONG Ligang JIANG Xian WANG Guangchang LU Lingrong Research on dynamic allocation of network slicing resources based on OS-MBRL Dianxin kexue network slicing resource allocation reinforcement learning online SVM algorithm |
title | Research on dynamic allocation of network slicing resources based on OS-MBRL |
title_full | Research on dynamic allocation of network slicing resources based on OS-MBRL |
title_fullStr | Research on dynamic allocation of network slicing resources based on OS-MBRL |
title_full_unstemmed | Research on dynamic allocation of network slicing resources based on OS-MBRL |
title_short | Research on dynamic allocation of network slicing resources based on OS-MBRL |
title_sort | research on dynamic allocation of network slicing resources based on os mbrl |
topic | network slicing resource allocation reinforcement learning online SVM algorithm |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024228/ |
work_keys_str_mv | AT yanjiahui researchondynamicallocationofnetworkslicingresourcesbasedonosmbrl AT zhongweixuan researchondynamicallocationofnetworkslicingresourcesbasedonosmbrl AT dongligang researchondynamicallocationofnetworkslicingresourcesbasedonosmbrl AT jiangxian researchondynamicallocationofnetworkslicingresourcesbasedonosmbrl AT wangguangchang researchondynamicallocationofnetworkslicingresourcesbasedonosmbrl AT lulingrong researchondynamicallocationofnetworkslicingresourcesbasedonosmbrl |