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RIS Wireless Network Optimization Based on TD3 Algorithm in Coal-Mine Tunnels.

Shuqi Wang1, Fengjiao Wang1

  • 1School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710600, China.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
Summary
This summary is machine-generated.

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Reconfigurable Intelligent Surfaces (RIS) enhance coal mine wireless communication by optimizing signal paths. The proposed TD3-NF algorithm significantly boosts system sum rates, improving communication quality in challenging underground environments.

Area of Science:

  • Wireless Communication
  • Signal Processing
  • Artificial Intelligence

Background:

  • Coal mines present complex communication challenges due to spatial constraints and signal interference.
  • Reconfigurable Intelligent Surfaces (RIS) are an emerging technology for optimizing wireless signal propagation paths.

Purpose of the Study:

  • Investigate channel attenuation in a semi-circular arch coal-mine tunnel using a dual RIS reflection link.
  • Propose an advanced algorithm to improve wireless communication performance in underground mining environments.

Main Methods:

  • Developed a Twin Delayed Deep Deterministic Policy Gradient with Noise Fading (TD3-NF) algorithm.
  • Jointly optimized base-station beamforming and RIS phase-shift matrices.
  • Simulated performance in a semi-circular arch coal-mine tunnel model.
Keywords:
coal-mine tunnel communicationreconfigurable intelligent surfacesum ratetwin delayed deep deterministic policy gradient

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Main Results:

  • The TD3-NF algorithm achieved an average link rate of 11.1 bps/Hz at 38 dBm transmit power, a 29.07% improvement over DDPG.
  • An 8x8 RIS structure yielded a 3.3 bps/Hz higher sum rate compared to a 4x4 structure.
  • Demonstrated effective control of signal-propagation paths for enhanced communication.

Conclusions:

  • The TD3-NF algorithm offers a novel solution for optimizing wireless communication in coal mines.
  • RIS technology, combined with AI, significantly improves communication quality in complex underground environments.
  • Findings support the application of AI in enhancing mine safety and operational efficiency through better communication.