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一种聚类辅助的智能频谱分配技术研究

赵浩钦 杨政 司江勃 石嘉 严少虎 段国栋

西安电子科技大学学报(自然科学版)2023,Vol.50Issue(6):1-12,12.
西安电子科技大学学报(自然科学版)2023,Vol.50Issue(6):1-12,12.DOI:10.19665/j.issn1001-2400.20231006

一种聚类辅助的智能频谱分配技术研究

Research on a clustering-assisted intelligent spectrum allocation technique

赵浩钦 1杨政 2司江勃 1石嘉 1严少虎 2段国栋2

作者信息

  • 1. 西安电子科技大学 空天地一体化综合业务网全国重点实验室,陕西 西安 710071
  • 2. 中国电子科技集团公司第二十九研究所,四川 成都 610036
  • 折叠

摘要

Abstract

Aiming at the problem of low spectrum utilization of the traditional spectrum allocation scheme in a large-scale and high dynamic electromagnetic spectrum warfare system,intelligent spectrum allocation technology research is carried out.In this paper,first,we construct a complex and highly dynamic electromagnetic spectrum combat scenario,and under the coexistence conditions of multiple types of equipment such as radar,communication and jamming,we model the spectrum allocation of the complex electromagnetic environment as an optimization problem to maximize the number of access devices.Second,an intelligent spectrum allocation algorithm based on clustering assistance is proposed.Aiming at the centralized resource allocation algorithm facing the problem of exploding action space dimensions,a multi-DDQN network is used to characterize the decision-making information of each node.Then based on the elbow law and K-means++ algorithm,a multi-node collaborative approach is proposed,where nodes within a cluster make chained decisions by sharing action information and nodes between clusters make independent decisions,assisting the DDQN algorithm to intelligently allocate resources.By designing the state,action space and reward function,and adopting the variable learning rate to realize the fast convergence of the algorithm,the nodes are able to dynamically allocate the multidimensional resources such as frequency/energy according to the electromagnetic environment changes.Simulation results show that under the same electromagnetic environment,when the number of nodes is 20,the number of accessible devices of the proposed algorithm is increased by about 80%compared with the number by the greedy algorithm,and about 30%compared with that by the genetic algorithm,which is more suitable for the spectrum allocation of multi-devices under dynamic electromagnetic environment.

关键词

动态电磁环境/智能频谱分配/频谱效率/聚类分析/深度强化学习

Key words

dynamic electromagnetic environment/intelligent spectrum allocation/spectrum efficiency/cluster analysis/reinforcement learning

分类

信息技术与安全科学

引用本文复制引用

赵浩钦,杨政,司江勃,石嘉,严少虎,段国栋..一种聚类辅助的智能频谱分配技术研究[J].西安电子科技大学学报(自然科学版),2023,50(6):1-12,12.

基金项目

电磁空间作战与应用重点实验室基金 ()

陕西省杰出青年科学基金(2022JC-50) (2022JC-50)

国家自然科学基金(61971337) (61971337)

西安电子科技大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1001-2400

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