Illumination Design for Near field Joint Imaging and Wireless Power Transfer Systems

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Internet of Things Journal Pub Date : 2025-02-25 DOI:10.1109/JIOT.2025.3545753
Qianyu Yang;Haiyang Zhang;Chunguo Li;Ruiqi Liu;Baoyun Wang
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Abstract

This article presents a novel concept termed integrated imaging and wireless power transfer (IWPT), wherein the integration of imaging and wireless power transfer functionalities is achieved on a unified hardware platform. IWPT leverages a transmitting array to efficiently illuminate a specific Region of Interest (ROI), enabling the extraction of ROI’s scattering coefficients while concurrently providing wireless power to nearby users. The integration of IWPT offers compelling advantages, including notable reductions in power consumption and spectrum utilization, pivotal for the optimization of future 6G wireless networks. As an initial investigation, we explore two antenna architectures: 1) a fully digital array and 2) a digital/analog hybrid array. Our goal is to characterize the fundamental tradeoff between imaging and wireless power transfer by optimizing the illumination signal. With imaging operating in the near-field, we formulate the illumination signal design as an optimization problem that minimizes the condition number of the equivalent channel. To address this optimization problem, we propose an semi-definite relaxation-based approach for the fully digital array and an alternating optimization algorithm for the hybrid array. Finally, numerical results verify the effectiveness of our proposed solutions and demonstrate the tradeoff between imaging and wireless power transfer.
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近场联合成像和无线电力传输系统的照明设计
本文提出了一种称为集成成像和无线电力传输(IWPT)的新概念,其中成像和无线电力传输功能的集成是在统一的硬件平台上实现的。IWPT利用发射阵列有效地照亮特定的感兴趣区域(ROI),能够提取ROI的散射系数,同时为附近的用户提供无线电源。集成IWPT提供了令人信服的优势,包括显著降低功耗和频谱利用率,这对优化未来6G无线网络至关重要。作为初步研究,我们探索了两种天线架构:1)全数字阵列和2)数字/模拟混合阵列。我们的目标是通过优化照明信号来表征成像和无线电力传输之间的基本权衡。当成像工作在近场时,我们将照明信号的设计表述为一个最小化等效通道条件数的优化问题。为了解决这一优化问题,我们提出了一种基于半确定松弛的全数字阵列优化方法和一种用于混合阵列的交替优化算法。最后,数值结果验证了我们提出的解决方案的有效性,并展示了成像和无线电力传输之间的权衡。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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