Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios

被引：0
作者：
Chen G. [1 ]
Xing Z. [1 ]
Shen F. [2 ]
Zeng Q. [1 ]
机构：
[1] College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao
[2] Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai
来源：
Tongxin Xuebao/Journal on Communications | 2024年 / 45卷 / 02期
基金：
中国国家自然科学基金;
关键词：
LEO satellite communication; MADDPG; network slicing; system utility; user association;
D O I：
10.11959/j.issn.1000-436x.2024041
中图分类号：
学科分类号：
摘要：
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. © 2024 Editorial Board of Journal on Communications. All rights reserved.
引用
收藏
页码：173 / 187
页数：14
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