Journal of Xidian University ›› 2023, Vol. 50 ›› Issue (6): 1-12.doi: 10.19665/j.issn1001-2400.20231006

• Special Issue on Elctromagnetic Space Security •     Next Articles

Research on a clustering-assisted intelligent spectrum allocation technique

ZHAO Haoqin1(),YANG Zheng2(),SI Jiangbo1(),SHI Jia1(),YAN Shaohu2(),DUAN Guodong2()   

  1. 1. State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China
    2. Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China
  • Received:2023-04-12 Online:2023-12-20 Published:2024-01-22


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.

Key words: dynamic electromagnetic environment, intelligent spectrum allocation, spectrum efficiency, cluster analysis, reinforcement learning

CLC Number: 

  • TN97