Movable Antenna-Enabled RIS-Assisted Simultaneous Wireless Information and Power Transfer Systems

The integration of movable antenna (MA) and reconfigurable intelligent surfaces (RIS) offers promising potential for enhancing simultaneous wireless information and power transfer (SWIPT) systems. In this paper, we investigate a novel MA-enabled RIS-assisted SWIPT framework, where both RIS and MA are jointly exploited to provide additional spatial degrees of freedom and reconfigurable propagation channels. Then, we formulate an energy harvesting maximization problem under communication reliability constraints by jointly optimizing the base station beamforming, RIS phase shifts, and MA positions. To tackle the proposed non-convexity problem, an efficient alternating optimization (AO) algorithm is developed, which is based on successive convex approximation (SCA) and second-order Taylor expansion. The obtained simulation outcomes reveal that incorporating MA into RIS-assisted SWIPT systems leads to notable performance gains over both conventional RIS schemes and fixed-antenna benchmarks.

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Publication Details

Journal
Sensors
Published
2025-12-04
DOI
https://doi.org/10.3390/s25237402
Primary Topic
Advanced Wireless Communication Technologies
Type
article
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Movable Antenna-Enabled RIS-Assisted Simultaneous Wireless Information and Power Transfer Systems

Xiaofan Yu, Xuan Zhang, Xin Wang, Xiaoye Shi et al.
Sensors
Advanced Wireless Communication Technologies
article

Movable Antenna-Enabled RIS-Assisted Simultaneous Wireless Information and Power Transfer Systems

Xiaofan Yu, Xuan Zhang, Xin Wang, Xiaoye Shi, Daqin Feng
article en

Abstract

The integration of movable antenna (MA) and reconfigurable intelligent surfaces (RIS) offers promising potential for enhancing simultaneous wireless information and power transfer (SWIPT) systems. In this paper, we investigate a novel MA-enabled RIS-assisted SWIPT framework, where both RIS and MA are jointly exploited to provide additional spatial degrees of freedom and reconfigurable propagation channels. Then, we formulate an energy harvesting maximization problem under communication reliability constraints by jointly optimizing the base station beamforming, RIS phase shifts, and MA positions. To tackle the proposed non-convexity problem, an efficient alternating optimization (AO) algorithm is developed, which is based on successive convex approximation (SCA) and second-order Taylor expansion. The obtained simulation outcomes reveal that incorporating MA into RIS-assisted SWIPT systems leads to notable performance gains over both conventional RIS schemes and fixed-antenna benchmarks.

SensorsVol. 25(23)
Nanjing University of Posts and Telecommunications (CN), China Telecom (China) (CN)
Openalex Percentile: Top 61%
Advanced Wireless Communication Technologies
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