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An Intelligent Communication Anti-interference Decision Algorithm Based on Multiple Reward Value DDQN
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Yao LING1, 2, Shijun XIE2, Hao LIANG2, Jiao FENG1, Weijie GAO1, 2
Telecommunication Engineering | 2025, 65(11) : 1820 - 1827
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Telecommunication Engineering | 2025, 65(11): 1820-1827
• Application Fundamental Research and Advanced Technology •
An Intelligent Communication Anti-interference Decision Algorithm Based on Multiple Reward Value DDQN
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Yao LING1, 2, Shijun XIE2, Hao LIANG2, Jiao FENG1, Weijie GAO1, 2
Affiliations
  • 1School of Electronic and Information Engineering，Nanjing University of Information Science & Technology，Nanjing 210044，China
  • 2The 63rd Research Institute，National University of Defense Technology，Nanjing 210007，China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240715002
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In satellite communication systems operating in dynamic interference environments,the quality of channels and the interference power vary. Limited spectrum resources and complex interference environments pose challenges for anti-interference communication decisions, particularly in terms of resource allocation and service demands. Specifically, the challenge lies in efficiently utilizing resources while avoiding interference frequencies and optimizing power. To address this issue,a deep reinforcement learning-based anti-interference algorithm with multiple reward functions is proposed. The algorithm models the interaction between the transmitter,receiver,and interferer as a Markov decision process. By optimizing the reward function associated with the costs of channel and power switching,it introduces mechanisms for both frequency and power switching,analyzes the interference characteristics in the spectrum of adjacent time slots, and integrates the interference signal features collected during the interaction with channel information to train an anti-interference strategy. This strategy enables joint anti-interference decision-making in both the frequency and power domains. Simulation results demonstrate that the algorithm effectively reduces the probability of interference,accelerates convergence,and optimizes the utilization of power resources.

intelligent communication anti-interference  /  joint anti-interference decision  /  deep reinforcement learning  /  multiple reward value functions
Yao LING, Shijun XIE, Hao LIANG, Jiao FENG, Weijie GAO. An Intelligent Communication Anti-interference Decision Algorithm Based on Multiple Reward Value DDQN[J]. Telecommunication Engineering, 2025 , 65 (11) : 1820 -1827 . DOI: 10.20079/j.issn.1001-893x.240715002
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Year 2025 volume 65 Issue 11
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Article Info
doi: 10.20079/j.issn.1001-893x.240715002
  • Receive Date：2024-07-15
  • Online Date：2026-04-15
  • Published：2025-11-28
Article Data
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History
  • Received：2024-07-15
  • Revised：2024-11-08
Affiliations
    1School of Electronic and Information Engineering，Nanjing University of Information Science & Technology，Nanjing 210044，China
    2The 63rd Research Institute，National University of Defense Technology，Nanjing 210007，China
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