Holographic Integrated Data and Energy Transfer
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.
Authors
- Jie Hu (ORCID: https://orcid.org/0000-0002-5157-0172)
- Qingxiao Huang
- Yizhe Zhao (ORCID: https://orcid.org/0000-0002-9919-0427)
- Kun Yang (ORCID: https://orcid.org/0000-0002-6782-6689)
Institutions
- University of Electronic Science and Technology of China (CN)
- Nanjing University (CN)
Publication Details
- Journal
- IEEE Transactions on Wireless Communications
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/twc.2024.3477750
- Citations
- 5
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.45