首页|LEO-RAN切片场景联合用户关联和动态资源分配算法

LEO-RAN切片场景联合用户关联和动态资源分配算法

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为了解决6G天地一体化网络的资源高效利用问题,提出了一种面向高密度低地球轨道卫星-无线接入网(LEO-RAN)切片场景的联合用户关联和动态资源分配算法.考虑不同切片的最小速率、最大时延及资源比例等约束,以频谱效率(SE)和不同切片服务水平协议(SLA)满意率(SSR)的加权和作为优化目标,建立用户关联和资源分配的联合优化问题.首先设计基于多智能体深度确定性策略梯度(MADDPG)的网络切片算法确定切片资源比例,然后采用基于拉格朗日对偶的用户关联算法确定最优的用户关联策略,最后通过轮询调度机制将资源分配给用户.仿真结果表明,所提算法在满足不同切片差异化 SLA 的同时能够有效提高 SE.与基于MADDPG-RA、MATD3-LG、MATD3-RA、MASAC-LG和MASAC-RA算法相比,所提算法系统效用分别提升了2.0%、2.3%、5.7%、8.7%和9.4%.
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 inte-grated 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 pro-portion 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.

LEO satellite communicationnetwork slicinguser associationMADDPGsystem utility

陈赓、邢治薇、沈斐、曾庆田

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山东科技大学电子信息工程学院,山东 青岛 266590

中国科学院上海微系统与信息技术研究所,上海 200050

LEO卫星通信 网络切片 用户关联 多智能体深度确定性策略梯度 系统效用

国家自然科学基金资助项目山东省自然科学基金资助项目山东科技大学青年教师人才培养计划基金资助项目青岛市应用基础研究计划基金资助项目山东科技大学菁英计划基金资助项目中国科学院百人计划基金资助项目山东省泰山学者计划基金资助项目

61701284ZR2022MF226BJ2022110119-6-2-1-cgskr21-3-B-048E06BRA1001ts20190936

2024

10.11959/j.issn.1000-436x.2024041

通信学报
中国通信学会

通信学报

CSTPCD北大核心
影响因子：1.265
ISSN：1000-436X
年,卷(期)：2024.45(2)
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