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Mathematics > Numerical Analysis

arXiv:2411.10151 (math)
[Submitted on 15 Nov 2024]

Title:Self-Alignment Radio Frequency Resonant Beam System for Information and Power Transfer

Authors:Qingwei Jiang, Mingqing Liu, Mengyuan Xu, Wen Fang, Mingliang Xiong, Qingwen Liu, Shengli Zhou
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Abstract:Due to power attenuation, improving transmission efficiency in the radio-frequency (RF) band remains a significant challenge, which hinders advancements in various fields of the Internet of Things (IoT), such as wireless power transfer (WPT) and wireless communication. Array design and retro-directive beamforming (RD-BF) techniques offer simple and effective ways to enhance transmission efficiency. However, when the target is an array or in the near field, the RD-BF system (RD-BFS) cannot radiate more energy to the target due to phase irregularities in the target region, resulting in challenges in achieving higher efficiency. To address this issue, we propose the RF-based resonant beam system (RF-RBS), which adaptively optimizes phase and power distribution between transmitting and receiving arrays by leveraging the resonance mechanism to achieve higher transmission efficiency. We analyze the system structure and develop an analytical model to evaluate power flow and resonance establishment. Numerical analysis demonstrates that the proposed RF-RBS achieves self-alignment without beam control and provides higher transmission efficiency compared to RD-BFS, with improvements of up to 16%. This self-alignment capability allows the system to effectively transfer power and information across varying distances and offsets. The numerical results indicate the capability to transmit watt-level power and achieve 21 bps/Hz of downlink spectral efficiency in indoor settings, highlighting the advantages of RF-RBS in information and power transfer for mobile applications.
Subjects: Numerical Analysis (math.NA)
Cite as: arXiv:2411.10151 [math.NA]
  (or arXiv:2411.10151v1 [math.NA] for this version)
  https://doi.org/10.48550/arXiv.2411.10151

Submission history

From: Qingwei Jiang [view email]
[v1] Fri, 15 Nov 2024 12:48:10 UTC (11,032 KB)
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