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A User Association and Resource Allocation Algorithm for UAV-Assisted Smart Grid.

Jianwei Wei1, Yuzhu Lei2, Zhiyi Wen1

  • 1Xuejiawan Power Supply Company, Ordos 010300, China.

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Summary
This summary is machine-generated.

This study introduces a UAV-assisted network for smart grids, enhancing wireless communication in remote areas. The developed algorithm optimizes resource allocation, significantly boosting system throughput and user data rates.

Keywords:
UAVheterogeneous wireless networkresource allocationsmart griduser association

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Telecommunications

Background:

  • Smart grids (SG) require robust wireless communication for emerging intelligent applications like inspection and sensing, particularly in remote areas.
  • Existing wireless networks face challenges in meeting the high demands of SG applications, leading to performance limitations.

Purpose of the Study:

  • To propose a UAV-assisted heterogeneous wireless network for the smart grid to improve communication services.
  • To develop a joint user association and resource allocation algorithm to maximize total system throughput.

Main Methods:

  • A matching algorithm was employed for user association and subchannel assignment optimization.
  • The Lagrangian dual method was utilized to address the power allocation problem.
  • Extensive simulations were conducted to validate the proposed approach.

Main Results:

  • The proposed algorithm effectively increases user communication rates.
  • The capacity of the heterogeneous network for the smart grid is significantly enhanced.
  • The system demonstrates improved performance in supporting SG intelligent applications.

Conclusions:

  • The UAV-assisted heterogeneous wireless network offers a viable solution for enhancing SG communication.
  • The joint optimization algorithm successfully maximizes system throughput and user data rates.
  • This approach provides a scalable and efficient communication infrastructure for future smart grids.