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Updated: Jun 29, 2025

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基于机器学习的PAPR技术的调查

Bianca S de C da Silva1, Victoria D P Souto1, Richard D Souza2

  • 1National Institute of Telecommunications, Santa Rita do Sapucaí 37540-000, Brazil.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

直角频率分割复合 (OFDM) 系统面临着高峰到平均功率比 (PAPR) 的挑战. 机器学习 (ML) 为减少PAPR提供了有希望的解决方案,这对于未来的6G无线网络至关重要.

关键词:
6G网络中的6G网络.减少PAPR的使用费用人工智能的人工智能是人工智能.机器学习是机器学习.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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