Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios
A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the co...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-02-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024041/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850122489527533568 |
|---|---|
| author | Geng CHEN Zhiwei XING Fei SHEN Qingtian ZENG |
| author_facet | Geng CHEN Zhiwei XING Fei SHEN Qingtian ZENG |
| author_sort | Geng CHEN |
| collection | DOAJ |
| description | A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively. |
| format | Article |
| id | doaj-art-d18324f8b3fc4b1faeaf3827037fea88 |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d18324f8b3fc4b1faeaf3827037fea882025-08-20T02:34:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-02-014517318759383401Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenariosGeng CHENZhiwei XINGFei SHENQingtian ZENGA joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024041/LEO satellite communicationnetwork slicinguser associationMADDPGsystem utility |
| spellingShingle | Geng CHEN Zhiwei XING Fei SHEN Qingtian ZENG Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios Tongxin xuebao LEO satellite communication network slicing user association MADDPG system utility |
| title | Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios |
| title_full | Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios |
| title_fullStr | Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios |
| title_full_unstemmed | Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios |
| title_short | Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios |
| title_sort | joint user association and dynamic resource allocation algorithm for leo ran slicing scenarios |
| topic | LEO satellite communication network slicing user association MADDPG system utility |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024041/ |
| work_keys_str_mv | AT gengchen jointuserassociationanddynamicresourceallocationalgorithmforleoranslicingscenarios AT zhiweixing jointuserassociationanddynamicresourceallocationalgorithmforleoranslicingscenarios AT feishen jointuserassociationanddynamicresourceallocationalgorithmforleoranslicingscenarios AT qingtianzeng jointuserassociationanddynamicresourceallocationalgorithmforleoranslicingscenarios |