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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 Videos

Rate maximization for STAR-RIS-assisted SWIPT communication systems.

Qian Du1, Yuhang Zhang2, Yaru Cui2

  • 1School of Physics and Electronic Engineering, Linyi University, Linyi, 276000, China.

Scientific Reports
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

This study optimizes simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS) for wireless power and information transfer (SWIPT). STAR-RIS significantly enhances communication performance in SWIPT systems.

Keywords:
STAR-RISSWIPTSemidefinite relaxation

Related Experiment Videos

Area of Science:

  • Wireless Communication Engineering
  • Intelligent Reflecting Surfaces
  • Signal Processing

Background:

  • Simultaneous Wireless Information and Power Transfer (SWIPT) systems face challenges in optimizing both data rates and energy efficiency.
  • Reconfigurable Intelligent Surfaces (RIS) offer a promising solution to control the wireless propagation environment.
  • STAR-RIS uniquely enables simultaneous signal transmission and reflection, presenting new design opportunities for SWIPT.

Purpose of the Study:

  • To investigate the optimal design of STAR-RIS-assisted SWIPT systems.
  • To maximize the information transmission rate of the system through joint optimization.
  • To leverage perfect channel state information for enhanced system performance.

Main Methods:

  • Joint optimization of Access Point (AP) active beamforming and STAR-RIS phase shifts/amplitude coefficients.
  • Decomposition of the original problem into two subproblems.
  • Application of semidefinite relaxation, successive convex approximation, and penalty function methods.
  • Iterative solution using a continuous alternating iteration method until convergence.

Main Results:

  • The proposed optimization framework successfully maximizes the information transmission rate.
  • STAR-RIS components (phase shifts and amplitude coefficients) are jointly optimized with AP beamforming.
  • The iterative approach converges to an optimal solution for the complex design problem.

Conclusions:

  • STAR-RIS technology can significantly improve the communication performance of SWIPT systems.
  • Optimal design of STAR-RIS parameters is crucial for maximizing system efficiency.
  • The developed optimization techniques provide an effective method for designing advanced wireless communication systems.