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...

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Main Authors: YAN Jiahui, ZHONG Weixuan, DONG Ligang, JIANG Xian, WANG Guangchang, LU Lingrong
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2024-10-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024228/
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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