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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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Related Experiment Video

Updated: Jul 11, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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6G-Powered Efficient Resource Control through IRS-UE Association.

Ali Alqahtani1, Ashu Taneja2, Jarallah Alqahtani3

  • 1Department of Networks and Communications Engineering, College of Computer Science and Information Systems, Najran University, Najran 61441, Saudi Arabia.

Sensors (Basel, Switzerland)
|November 14, 2023
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Summary
This summary is machine-generated.

This study introduces a 6G wireless network using intelligent reflecting surfaces (IRSs) to improve communication reliability. The proposed IRS-UE association algorithm enhances data rates by 30%, overcoming challenges of distributed IRS deployment.

Keywords:
6GIRSIRS-UE associationIoTsum rate

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Area of Science:

  • Wireless communication networks
  • Next-generation (6G) mobile technology
  • Intelligent reflecting surfaces (IRSs)

Background:

  • High-speed data demand for real-time applications necessitates advanced communication technologies like 6G.
  • Vulnerability of wireless nodes to environmental changes causes call drops, data loss, and latency.
  • Distributed intelligent reflecting surfaces (IRSs) can enhance transmission robustness in 6G networks.

Purpose of the Study:

  • To present a 6G-enabled wireless network utilizing multiple IRSs.
  • To address the challenge of increased overhead from distributed IRSs through efficient resource control.
  • To propose and evaluate an IRS-UE association algorithm for selective resource control.

Main Methods:

  • Development of a 6G wireless network architecture incorporating multiple IRSs.
  • Introduction of an efficient resource control mechanism associating IRSs with user equipment (UE).
  • Proposal of the IRS-UE association based on pilots (IUABP) algorithm for selective resource control.

Main Results:

  • The proposed IUABP scheme demonstrates improved performance compared to distance-based and random association.
  • An achievable sum rate improvement of 30% was observed with 50 IRSs and 5 reflecting elements at 12 dBm transmit power.
  • Performance evaluation considered varying numbers of IRSs, reflecting elements, and transmit powers.

Conclusions:

  • The proposed IRS-UE association scheme effectively manages overhead and enhances communication robustness in 6G networks.
  • Efficient resource control is crucial for leveraging the benefits of distributed IRSs in high-speed wireless systems.
  • The IUABP algorithm offers a promising solution for improving data rates and user experience in 6G environments.