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Enhancing Reconfigurable Intelligent Surface-Enabled Cognitive Radio Networks for Sixth Generation and Beyond:

Huu Q Tran1, Byung Moo Lee2

  • 1Faculty of Electronics Technology (FET), Industrial University of Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel system integrating reconfigurable intelligent surfaces (RISs) with cognitive radio (CR) for future 6G networks. Optimizing RIS reflector configuration enhances performance and prevents outages in RIS-assisted CR systems.

Keywords:
cognitive radio (CR)ergodic rate (ER)gamma distributionoutage probability (OP)reconfigurable intelligent surface (RIS)

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Area of Science:

  • Wireless Communication Engineering
  • Signal Processing
  • Information Theory

Background:

  • The integration of reconfigurable intelligent surfaces (RISs) and cognitive radio (CR) is crucial for advancing wireless communication systems.
  • Future networks like 6G demand innovative solutions for efficient spectrum utilization and enhanced connectivity.

Purpose of the Study:

  • To propose and analyze a novel RIS-assisted CR network architecture.
  • To investigate the performance of the proposed system under various conditions and parameters.
  • To provide insights for optimizing RIS-assisted CR systems for future wireless networks.

Main Methods:

  • Mathematical derivation of performance metrics for the secondary user (SU).
  • Validation of analytical results using Monte Carlo simulations.
  • Analysis of system performance based on signal-to-noise ratio (SNR), power allocations, number of reflectors, and blocklength.

Main Results:

  • Performance is sensitive to the number of reflectors, fading severity, and correlation coefficient.
  • Optimized reflector configuration prevents complete system outage and enhances overall performance.
  • The proposed RIS-assisted CR systems demonstrate superior performance compared to reference schemes.

Conclusions:

  • The proposed RIS-assisted CR system offers a robust and efficient solution for future wireless networks.
  • Parameter optimization, particularly reflector configuration, is key to maximizing system performance.
  • This work provides valuable insights for the design and deployment of advanced wireless communication systems.