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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.
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The Maximum Power Transfer Theorem01:20

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Consider a linear AC Thevenin equivalent circuit connected to a load impedance.
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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...
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Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
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Joint Power Control and Resource Allocation with Rate Fairness Consideration for SWIPT-Based Cognitive Two-Way Relay

Chunling Peng1, Guozhong Wang2,3, Huaping Liu4

  • 1School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
Summary
This summary is machine-generated.

This study optimizes power and resource allocation for simultaneously wireless information and power transfer (SWIPT) in cognitive relay networks. The proposed joint power control and resource allocation (JPCRA) scheme enhances transmission fairness and performance.

Keywords:
SWIPTcognitive two-way relayjoint resource allocationpower splitting

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Area of Science:

  • Wireless Communication Networks
  • Energy Harvesting Systems
  • Cognitive Radio Technology

Background:

  • Simultaneously Wireless Information and Power Transfer (SWIPT) enables devices to harvest energy and receive data wirelessly.
  • Cognitive relay networks enhance spectrum efficiency by operating under primary users.
  • Optimizing resource allocation is crucial for performance in these complex networks.

Purpose of the Study:

  • To address power control and resource allocation in SWIPT-based cognitive two-way relay networks.
  • To maximize the minimum transmission rates of secondary users without harming primary network performance.
  • To develop an efficient algorithm for joint optimization.

Main Methods:

  • Formulation of an optimization problem to maximize minimum user rates.
  • Joint optimization of power allocation, time allocation, and power splitting ratios.
  • Development of a sub-optimal Joint Power Control and Resource Allocation (JPCRA) algorithm.
  • Decoupling non-convex problems into convex sub-problems for iterative solution.

Main Results:

  • The proposed JPCRA scheme effectively manages power and resources in the cognitive SWIPT network.
  • Numerical results demonstrate enhanced transmission fairness among cognitive users.
  • The JPCRA scheme outperforms existing traditional schemes in performance.

Conclusions:

  • The JPCRA algorithm provides an efficient solution for power control and resource allocation in cognitive SWIPT relay networks.
  • The optimization strategy successfully balances secondary network enhancement with primary network protection.
  • This work contributes to improving the efficiency and fairness of future wireless communication systems.