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Robust Secure Resource Allocation for RIS-Aided SWIPT Communication Systems.

Bencheng Yu1,2, Zihui Ren1, Shoufeng Tang1

  • 1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.

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Summary

This study introduces a robust resource allocation algorithm for reconfigurable intelligent surface (RIS) systems, enhancing harvested energy fairness under imperfect channel conditions.

Keywords:
RISchannel uncertaintyharvested energyinformation leakage

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Area of Science:

  • Wireless Communication
  • Signal Processing
  • Optimization Theory

Background:

  • Reconfigurable intelligent surfaces (RIS) offer enhanced wireless communication by controlling the propagation environment.
  • Imperfect channel state information (CSI) and security concerns pose significant challenges in RIS-aided systems.
  • Optimizing resource allocation is crucial for improving system performance, including harvested energy and secrecy rates.

Purpose of the Study:

  • To develop a robust resource allocation algorithm for RIS-MIMO systems addressing channel uncertainty and information leakage.
  • To optimize the base station's active and energy beams, along with RIS phase shifts, under realistic constraints.
  • To enhance the fairness of harvested energy for users in the system.

Main Methods:

  • Formulation of a joint optimization problem considering secrecy rate, transmit power, and RIS phase shift constraints.
  • Application of the S-procedure and alternating optimization techniques to transform the non-convex problem into a convex one.
  • Development of a continuous convex approximation-based alternating optimization algorithm.

Main Results:

  • The proposed algorithm effectively handles bounded channel uncertainty.
  • It optimizes the base station beams and RIS phase shifts jointly.
  • Simulation results demonstrate superior harvested energy fairness compared to traditional robust algorithms.

Conclusions:

  • The developed robust resource allocation algorithm is effective for RIS-MIMO systems with imperfect CSI.
  • The algorithm improves harvested energy fairness while maintaining security constraints.
  • This work provides a valuable approach for optimizing RIS-assisted wireless networks.