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相关概念视频

Maximum Power Transfer01:16

Maximum Power Transfer

252
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
252
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

107
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
107
Downsampling01:20

Downsampling

154
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
154
The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

602
Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
602
Upsampling01:22

Upsampling

229
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
229
Transmission Line Design Considerations01:23

Transmission Line Design Considerations

133
Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
133

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相关实验视频

Updated: Jun 25, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

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优化解码顺序和功率分配,以最大化下链NOMA系统的总吞吐量.

Zhuo Han1, Wanming Hao1, Zhiqing Tang2

  • 1School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.

Entropy (Basel, Switzerland)
|May 24, 2024
PubMed
概括

这项研究分析了下链非直角多重访问 (NOMA) 系统在Nakagami-m通道上的下链. 我们得出停电概率,优化电力分配和解码顺序,以最大限度地提高总吞吐量,并通过模拟确认结果.

关键词:
这就是NOMA NOMA.解码顺序是如何进行的停电的概率 停电的概率电力分配权力分配权力分配权总量吞吐量吞吐量总量

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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相关实验视频

Last Updated: Jun 25, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Published on: March 20, 2017

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科学领域:

  • 无线通信系统无线通信系统
  • 信息理论是信息理论.
  • 信号处理 信号处理

背景情况:

  • 非直角多重接入 (NOMA) 是提高5G及以后频谱效率的关键技术.
  • 在色通道上的NOMA系统的性能分析,如Nakagami-m,对于实际部署至关重要.
  • 优化功率分配和解码顺序显著影响系统吞吐量和用户公平性.

研究的目的:

  • 导出一个下链NOMA系统在Nakagami-m通道上的确切和非对称的中断概率.
  • 确定最佳功率分配范围,并调查它们对系统参数的依赖性.
  • 共同优化解码顺序和功率分配以最大限度地提高总吞吐量.

主要方法:

  • 关闭形式表达式的推导,用于准确的和不对称的中断概率.
  • 对功率分配范围和分界点的理论分析.
  • 为联合优化问题制定和基于高效搜索的解决方案.
  • 蒙特卡洛模拟用于验证.

主要成果:

  • 来自中断概率和多样性顺序的封闭式表达式.
  • 确定了最佳功率分配范围,分界点与总功率成比例,并且独立于通道状态信息 (CSI).
  • 证明最佳解码顺序是可变的,取决于总发射功率水平.
  • 联合优化有效地最大化了总吞吐量.

结论:

  • 衍生出来的分析表达式准确地预测系统性能.
  • 拟议的电力分配策略和解码顺序优化提供了显著的性能提升.
  • 这项研究为设计高效的NOMA系统在现实的色环境中提供了宝贵的见解.