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Updated: Feb 28, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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基于GenAI的网络演变:对双环无线网络的AF和DF继电系统的性能分析在 κ-μ 衰减下 案例研究

Nenad Petrovic1, Vuk Vujovic2, Suad Suljovic2

  • 1Faculty of Electronic Engineering, University of Nis, 18104 Nis, Serbia.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

本研究分析了使用放大和转发 (AF) 和解码和转发 (DF) 技术的双跳中继性能. 一种生成性AI方法通过分析停机和位错误概率来帮助优化无线网络.

关键词:
二进制相位转移键设置生成型的人工智能 (GenAI)方位相位移关键的使用平均比特错误率 平均比特错误率停电的概率 停电的概率κ-μ 色 逐渐消失

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