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Related Concept Videos

Maximum Power Transfer01:16

Maximum Power Transfer

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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...
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The Maximum Power Transfer Theorem01:20

The Maximum Power Transfer Theorem

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Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
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Maximum Power Flow and Line Loadability01:23

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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.
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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The Power Superposition Principle01:19

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Consider a circuit with two sinusoidal voltage sources. Each one influences the circuit independently, and the superposition principle helps us understand the combined effect by adding up the responses from each source.
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Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

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A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Power Efficient Secure Full-Duplex SWIPT Using NOMA and D2D with Imperfect CSI.

Jingpu Wang1, Xin Song1, Yatao Ma1

  • 1College of Computer Science and Engineering, Northeastern University, Shenyang 116026, China.

Sensors (Basel, Switzerland)
|September 24, 2020
PubMed
Summary

This study combines secure full-duplex (FD) wireless power transfer (SWIPT) with NOMA and D2D for enhanced wireless communication. The proposed method minimizes power while ensuring security and energy harvesting, outperforming traditional systems.

Keywords:
device-to-device (D2D)imperfect channel state information (CSI)multi-objective optimization (MOO)non-orthogonal multiple access (NOMA)secure full-duplex simultaneous wireless information and power transfer (FD-SWIPT)

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Area of Science:

  • Wireless communication technologies
  • Optimization theory
  • Information security

Background:

  • Next-generation wireless networks require efficient simultaneous information and power transfer (SWIPT).
  • Non-orthogonal multiple access (NOMA) and full-duplex (FD) communication offer significant performance gains.
  • Integrating device-to-device (D2D) communication and robust channel state information (CSI) estimation is crucial for practical systems.

Purpose of the Study:

  • To minimize the total transmit power in a secure FD SWIPT system integrated with NOMA and D2D.
  • To address the challenges of imperfect channel state information (CSI) for eavesdroppers.
  • To optimize power allocation for secrecy rates and energy harvesting (EH) requirements.

Main Methods:

  • Formulation of a multi-objective optimization (MOO) problem using the weighted Tchebycheff approach.
  • Transformation of non-convex constraints into convex forms using linear matrix inequalities (LMIs).
  • Design of a bounded transmission beamforming vector with artificial noise (AN) for robust power allocation.

Main Results:

  • Validation of the algorithm's convergence performance through numerical simulations.
  • Demonstration of the trade-off between uplink (UL) and downlink (DL) data transmit power.
  • Quantification of performance improvements achieved by FD and NOMA over half-duplex (HD) and orthogonal multiple access (OMA).

Conclusions:

  • The proposed integrated system effectively minimizes power consumption while ensuring secure information transmission and efficient energy harvesting.
  • The use of FD and NOMA significantly enhances system performance compared to conventional HD and OMA schemes.
  • The developed optimization framework provides a robust solution for practical wireless communication systems with imperfect CSI.