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Area of Science:

  • Electromagnetic wave manipulation
  • Wireless communication systems
  • Metamaterials and intelligent surfaces

Background:

  • Reconfigurable intelligent surfaces (RISs) offer dynamic control over electromagnetic signal propagation.
  • Optimizing RIS phase configurations is crucial for maximizing wireless system performance.
  • Existing methods like semidefinite relaxation (SDR) face challenges in computational complexity.

Purpose of the Study:

  • To investigate the achievable data rate in a single-input-single-output (SISO) wideband system using optimized RIS.
  • To develop a novel beamforming codebook and power allocation algorithm for RIS phase optimization.
  • To compare the proposed method's efficiency and performance against the SDR scheme.

Main Methods:

  • Development of a new beamforming codebook for selecting the maximum signal-to-noise ratio (SNR) configuration.
  • Utilization of channel state information (CSI) and the selected SNR configuration for RIS optimization.
  • Implementation of a fair power allocation algorithm across subcarriers for wideband systems.

Main Results:

  • The proposed method demonstrates significantly lower computational complexity compared to the SDR scheme.
  • An optimized RIS configuration resulted in a 2.5-fold increase in achievable data rate.
  • The developed algorithm effectively optimizes RIS phase configurations for improved system performance.

Conclusions:

  • The novel RIS optimization technique offers a computationally efficient and high-performance solution for wireless systems.
  • Optimized RIS surfaces can substantially enhance achievable data rates in wideband communication.
  • This approach presents a promising direction for future wireless network advancements.