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Holographic Integrated Data and Energy Transfer: Maximizing Sum-Rate while Satisfying Energy Harvesting Requirements


Core Concepts
By leveraging the electromagnetic manipulation capability of holographic MIMO, the proposed holographic integrated data and energy transfer (H-IDET) system can fully exploit the electromagnetic channel to realize energy focusing and eliminate inter-user interference, thereby maximizing the sum-rate of data users while satisfying the energy harvesting requirements of energy users.
Abstract
The paper investigates the beamforming designs for H-IDET systems, where the sum-rate of data users (DUs) are maximized by guaranteeing the energy harvesting requirements of energy users (EUs). Key highlights: A continuous aperture H-IDET transmitter with three polarizations is considered to be compatible with the electromagnetic (EM) channel for achieving better IDET performance. For the single EU system, the optimal beamforming for wireless energy transfer (WET) is obtained in closed form, where the beam can be focused at different distances but with the same angle. For the multi-user system, a block coordinate descent (BCD) based algorithm is proposed to obtain the optimal beamforming, where the Fourier transform and successive convex approximation (SCA) are also conceived, followed by initialization schemes to enhance robustness. Numerical results demonstrate that the proposed H-IDET scheme outperforms benchmark schemes, especially in near-field focusing and spatial filtering. The near-field focusing using the EM channel model achieves better performance compared to the traditional channel model, especially for WPT where the EUs are usually close to the transmitter.
Stats
The transmit power is limited by Pt. The minimum required harvested power of the EUs is P0.
Quotes
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Key Insights Distilled From

by Qingxiao Hua... at arxiv.org 04-09-2024

https://arxiv.org/pdf/2404.04927.pdf
Holographic Integrated Data and Energy Transfer

Deeper Inquiries

How can the proposed H-IDET system be extended to support more advanced applications, such as integrated sensing and communication

To extend the proposed H-IDET system to support integrated sensing and communication, additional functionalities and capabilities need to be incorporated. One approach could involve integrating sensor nodes within the system to enable data collection and analysis alongside energy transfer. By leveraging the holographic MIMO technology and EM channel manipulation, the system can be designed to not only transfer energy efficiently but also gather and process data from the surrounding environment. This integration would enable applications such as smart infrastructure monitoring, environmental sensing, and industrial automation. By optimizing the beamforming designs to cater to both data transfer and sensing requirements, the H-IDET system can provide a comprehensive solution for diverse IoT applications.

What are the potential challenges and limitations of the H-IDET system in practical deployment scenarios, and how can they be addressed

While the H-IDET system shows great potential for enabling efficient data and energy transfer, there are several challenges and limitations that need to be addressed for practical deployment. One key challenge is the complexity of the system design and optimization, especially when dealing with a large number of users and devices. Ensuring seamless integration with existing communication infrastructure and devices can also pose challenges. Additionally, the need for precise calibration and alignment of the holographic MIMO elements for optimal performance can be a limitation in real-world deployment scenarios. To address these challenges, advanced algorithms for system optimization, robust calibration techniques, and interoperability standards with other communication systems can be developed. Moreover, conducting thorough testing and validation in real-world environments will be crucial to ensure the reliability and efficiency of the H-IDET system.

What are the broader implications of the EM theory-based approach used in this work, and how can it inspire further advancements in the field of wireless communications and energy transfer

The EM theory-based approach used in the H-IDET system has significant implications for the field of wireless communications and energy transfer. By leveraging electromagnetic principles and channel modeling, the system can achieve efficient energy focusing, data transmission, and interference mitigation. This approach opens up possibilities for enhancing the performance and reliability of wireless communication systems, especially in IoT applications where energy efficiency is crucial. Furthermore, the integration of EM theory in the design of H-IDET systems can inspire advancements in antenna technology, signal processing, and network optimization. The insights gained from this work can drive innovations in the development of smart and sustainable communication systems, paving the way for future advancements in wireless technology.
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