AI6G

Chunxiao Lin1, Muhammad Farhan Azmine1, Yibin Liang1

  • 1Bradley Department of Electrical and Computing Engineering, Virginia Tech, Blacksburg, VA, United States.

概括

本研究介绍了一种神经科学启发的机器学习模型,即回声状态网络 (ESN),用于在6G无线通信系统中更快地检测符号. 硬件加速设计显示了大规模MIMO-OFDM网络的高性能和效率.

相关概念视频

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
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Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

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Acceleration Vectors01:30

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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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