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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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Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid.

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  • 1College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.

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This study introduces a new architecture for cognitive radio-enabled smart grids, optimizing spectrum sensing and power allocation to enhance communication data rates for secondary users.

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Wireless Communication

Background:

  • Smart Grids (SG) leverage the Internet of Things (IoT) for efficient energy management.
  • Cognitive Radio (CR) enables opportunistic spectrum access for Secondary Users (SUs) from Primary Users (PUs).
  • CR technology integration can significantly improve SG communication quality.

Purpose of the Study:

  • Propose a novel system architecture for multiband CR-enabled SG communication.
  • Develop optimization models for joint sensing time and power allocation.
  • Maximize SG data rates while ensuring reliable detection of active PUs.

Main Methods:

  • Design of a hybrid CR-enabled SG communication network architecture.
  • Formulation of mathematical optimization models for spectrum management.
  • Application of convex optimization techniques for performance enhancement.
  • Simulation-based validation of proposed methodologies.

Main Results:

  • The proposed architecture effectively supports multiband CR-enabled SG communication.
  • Optimal sensing time and power allocation strategies were derived.
  • Maximized data rates were achieved under defined detection probability constraints.
  • Simulations confirmed the efficacy of the developed optimization methods.

Conclusions:

  • The presented system architecture and optimization techniques enhance the performance of CR-enabled SGs.
  • This work contributes to the advancement of next-generation wireless communication in smart grid environments.
  • The findings offer a practical approach for improving spectral efficiency and data throughput in SGs.