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Energy Efficiency Maximization for ME-IRS-Enabled Secure Communications.

Chenxi Liu1, Limeng Dong1, Yong Li1

  • 1School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710049, China.

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|May 4, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces movable intelligent reflecting surfaces (ME-IRS) to enhance secrecy energy efficiency (SEE) in wireless systems. The ME-IRS outperforms fixed configurations by dynamically adjusting element positions for better performance.

Keywords:
alternating optimizationintelligent reflecting surfacesecrecy energy efficiencytransmit beamforming

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Area of Science:

  • Wireless Communication Systems
  • Signal Processing
  • Metamaterials

Background:

  • Intelligent Reflecting Surfaces (IRS) enhance wireless communication by controlling the propagation environment.
  • Conventional IRS have fixed elements, limiting their adaptability.
  • Movable elements in IRS (ME-IRS) offer new degrees of freedom but introduce complex optimization challenges.

Purpose of the Study:

  • To maximize the Secrecy Energy Efficiency (SEE) in a downlink Multiple-Input Single-Output (MISO) wireless system.
  • To investigate the performance gains offered by a novel ME-IRS.
  • To address the non-convexity and variable coupling issues in ME-IRS optimization.

Main Methods:

  • Formulation of an SEE maximization problem.
  • Joint optimization of transmit beamforming, IRS phase shifts, and element positions.
  • Development of an alternating optimization (AO) framework utilizing Semidefinite Relaxation (SDR), Successive Convex Approximation (SCA), and gradient-based methods.

Main Results:

  • The proposed ME-IRS configuration significantly improves SEE compared to fixed-position and discrete-position IRS.
  • Demonstrated the effectiveness of the AO framework in solving the complex optimization problem.
  • Provided insights into the influence of movable region size and system parameters on SEE.

Conclusions:

  • ME-IRS offers a promising approach for enhancing SEE in wireless communication systems.
  • The developed optimization framework effectively handles the complexities introduced by movable IRS elements.
  • Dynamic element positioning in IRS is crucial for maximizing system performance.