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.
关键词
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
Key words
LEO satellite communication/network slicing/user association/MADDPG/system utility
维普
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