中南民族大学学报（自然科学版）2025，Vol.44Issue(5)：639-646,8.DOI:10.20056/j.cnki.ZNMDZK.20250509
一种面向物联网的网络切片动态资源分配算法
A network slicing dynamic resource allocation algorithm for the Internet of Things
摘要
Abstract
A Dynamic Slicing Resource Allocation algorithm(DSRA)based on Network Slicing(NS)and Deep Deterministic Policy Gradient(DDPG)is proposed to address the resource allocation problem of network services with differentiated resource demands in the Internet of Things(IoT).The algorithm dynamically allocates virtual radio access network resources based on the resource requirements of different devices on the slice,to meet device resource requirements and minimize the total system costs.The simulation experiment compared and analyzed the performance of the proposed algorithm with four baseline algorithms in terms of quality of service(QoS)satisfaction rate and total system cost.The simulation results show that in scenarios with multiple resources and a large number of devices,the proposed algorithm can significantly improve the QoS level of devices and reduce the total cost of the system compared to baseline algorithms.关键词
物联网/网络切片/资源分配/深度强化学习Key words
IoT/network slicing/resource allocation/deep reinforcement learning分类
电子信息工程引用本文复制引用
李中捷,潘麒名,姜家祥..一种面向物联网的网络切片动态资源分配算法[J].中南民族大学学报（自然科学版）,2025,44(5):639-646,8.基金项目
国家自然科学基金资助项目(61379028) （61379028）
湖北省自然科学基金资助项目(2022CFB905) （2022CFB905）
中央高校基本科研业务费专项资金资助项目(CZY23027) （CZY23027）
