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Performance Analysis of an IRS-Assisted SWIPT System with Phase Error and Interference
Xuhua Tian1, Jing Guo1, Zhili Ren1
1School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China.
Sensors (Basel, Switzerland)
|June 27, 2025
Summary
This study analyzes simultaneous wireless information and power transfer (SWIPT) systems with intelligent reflecting surfaces (IRS), considering phase errors and interference. Results show how these factors impact system performance, offering insights for future wireless communication designs.
Area of Science:
- Wireless Communication Systems
- Signal Processing
- Electromagnetics
Background:
- Simultaneous Wireless Information and Power Transfer (SWIPT) systems enable concurrent data transmission and energy harvesting.
- Intelligent Reflecting Surfaces (IRS) offer a promising approach to enhance wireless communication by intelligently controlling the propagation environment.
- Existing research often overlooks the practical challenges of IRS phase shift imperfections and interfering signals in SWIPT systems.
Purpose of the Study:
- To investigate the performance of a SWIPT system enhanced by an IRS under realistic conditions, including phase errors and interference.
- To analyze the impact of non-linear energy harvesting and line-of-sight propagation on system efficiency.
- To derive analytical expressions for key performance metrics and validate them through simulations.
Main Methods:
- Development of a theoretical framework for a SWIPT system with IRS, incorporating phase errors and interference.
- Derivation of closed-form and asymptotic expressions for outage probability, ergodic capacity, and energy efficiency (EE).
- Extensive simulations to evaluate the influence of phase error, interference, number of reflecting elements, and other system parameters.
Main Results:
- The derived expressions accurately capture the system's performance under various conditions.
- Phase errors and interfering signals significantly degrade system performance, particularly at lower signal-to-noise ratios.
- Increasing the number of IRS reflecting elements generally improves system performance, but with diminishing returns.
Conclusions:
- The study provides a comprehensive performance analysis of IRS-enhanced SWIPT systems, accounting for practical imperfections.
- The findings highlight the critical need to mitigate phase errors and interference for efficient SWIPT operation.
- The research offers valuable insights for the design and optimization of future IRS-assisted wireless communication networks.
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