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<p>This paper introduces a novel framework for optimizing packet length in Reconfigurable Intelligent Surfaces (RIS) assisted systems with vibration-based energy harvesting. By dynamically adjusting phase shifts of reflected signals, Reconfigurable Intelligent Surfaces (RIS) enhance wireless communication by improving signal strength, coverage, and spectral efficiency. We propose an approach that maximizes both instantaneous and average throughput in RIS systems using an optimal packet length and utilizing energy harvested from vibrations. Our results show that instantaneous throughput maximization provides a gain of over 7 dB compared to traditional packet lengths and average throughput maximization. This work highlights RIS as a key enabler for 6G wireless communications, offering significant throughput enhancements over 5G due to the spatial diversity provided by RIS reflections. This work proposes optimizing packet length to maximize both instantaneous and average throughput in RIS systems powered by vibration-based energy harvesting.</p>

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Throughput Maximization using Reconfigurable Intelligent Surfaces with Energy Harvesting from Vibrations

  • 期刊论文

  • 发表日期：

    2026年2月21日

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  • Faisal Alanazi

摘要

This paper introduces a novel framework for optimizing packet length in Reconfigurable Intelligent Surfaces (RIS) assisted systems with vibration-based energy harvesting. By dynamically adjusting phase shifts of reflected signals, Reconfigurable Intelligent Surfaces (RIS) enhance wireless communication by improving signal strength, coverage, and spectral efficiency. We propose an approach that maximizes both instantaneous and average throughput in RIS systems using an optimal packet length and utilizing energy harvested from vibrations. Our results show that instantaneous throughput maximization provides a gain of over 7 dB compared to traditional packet lengths and average throughput maximization. This work highlights RIS as a key enabler for 6G wireless communications, offering significant throughput enhancements over 5G due to the spatial diversity provided by RIS reflections. This work proposes optimizing packet length to maximize both instantaneous and average throughput in RIS systems powered by vibration-based energy harvesting.