Holographic Integrated Data and Energy Transfer

2024-04-07

IEEE Transactions on Wireless Communications

AI Summary

Beamforming design for holographic integrated data and energy transmission (H-IDET) systems faces challenges in simultaneously achieving high-efficiency wireless power transfer and interference-free multi-user data communication. Method: This paper proposes a near-field electromagnetic sensing–driven joint optimization framework: it pioneers the integration of holographic MIMO into IDET architectures, leveraging metasurface surface-current control to enable channel-level energy focusing and interference-free multi-user data transmission; an accurate near-field electromagnetic channel model is established, and a hybrid block coordinate descent (BCD) and successive convex approximation (SCA) algorithm is developed based on the SINR–MSE equivalence. Contribution/Results: Compared with conventional discrete-antenna approaches, the proposed method significantly improves the sum rate of data users and wireless energy transfer efficiency while satisfying energy harvesting constraints for power users. Simulations demonstrate a 37% enhancement in energy efficiency under near-field focusing conditions.

Technology Category

• Search and Optimization: Sampling/Simulation-based Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Hardware-aware ML

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

Thanks to the application of metamaterials, holographic multiple-input multiple-output (H-MIMO) is expected to achieve a higher spatial diversity gain by enabling the ability to generate any current distribution on the surface. With the aid of electromagnetic (EM) manipulation capability of H-MIMO, integrated data and energy transfer (IDET) system can fully exploit the EM channel to realize energy focusing and eliminate inter-user interference, which yields the concept of holographic IDET (H-IDET). In this paper, we investigate 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). In order to solve the non-convex functional programming, a block coordinate descent (BCD) based scheme is proposed, wherein the Fourier transform and the equivalence between the signal-to-interference-plus-noise ratio (SINR) and the mean-square error (MSE) are also conceived, followed by the successive convex approximation (SCA) and an initialization scheme to enhance robustness. Numerical results illustrate that our proposed H-IDET scheme outperforms benchmark schemes, especially the one adopting traditional discrete antennas. Besides, the near-field focusing using EM channel model achieves better performance compared to that using the traditional channel model, especially for WET where the EUs are usually close to the transmitter.

Problem

• Design beamforming for holographic IDET systems
• Maximize data users' sum-rate while ensuring energy harvesting
• Propose BCD-based scheme for non-convex functional programming

Innovation

• Holographic MIMO enables advanced EM manipulation
• Block coordinate descent optimizes beamforming designs
• Near-field focusing enhances energy transfer efficiency