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The sixth-generation communication system, 6G, represents the next significant leap in the field of communications, offering unprecedented opportunities for a wide range of emerging applications, particularly in the context of Non-Terrestrial Networks (NTN). NTN encompasses various platforms operating in aerial and space environments, characterized by unique propagation properties and high mobility, presenting substantial communication challenges. To address these challenges, researchers have introduced an innovative approach by integrating machine learning with Orthogonal Time Frequency Space (OTFS) modulation to enhance the communication capabilities of 6G NTN.

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Machine Learning Empowered Orthogonal Time Frequency Space Modulation for 6G Non-terrestrial Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Lei Liu,
  • Yang Li

摘要

The sixth-generation communication system, 6G, represents the next significant leap in the field of communications, offering unprecedented opportunities for a wide range of emerging applications, particularly in the context of Non-Terrestrial Networks (NTN). NTN encompasses various platforms operating in aerial and space environments, characterized by unique propagation properties and high mobility, presenting substantial communication challenges. To address these challenges, researchers have introduced an innovative approach by integrating machine learning with Orthogonal Time Frequency Space (OTFS) modulation to enhance the communication capabilities of 6G NTN.