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在未来6G物联网(Internet of Things, IoT)系统中，高频毫米波和太赫兹频谱等关键技术的广泛应用，使近场无线传输成为愈发普遍的应用场景。动态超表面天线(Dynamic Metasurface Antenna, DMA)等小尺寸天线阵列在传输效率、物理尺寸和功耗方面具备优势，在该场景中被广泛应用，相关研究的关注度日益提升。为提升近场无线传输中接收端的能量性能，提出一种基于DMA的下行近场无线数能同传(Simultaneous Wireless Information and Power Transfer, SWIPT)系统，在满足所有信息用户最低传输速率需求的条件下，针对该优化问题提出联合优化DMA可调频响矩阵与数字预编码向量的高效解决方案。此外，深入探讨了用户间距离及最小信干噪比(Signal to Interference plus Noise Ratio, SINR)等因素对于系统性能的影响。仿真结果表明，提出的方案相比其他现有技术能有效提升SWIPT联合性能。
Abstract：In future 6G Internet of Things(IoT) systems, extensive deployment of pivotal technologies such as high-frequency millimeter waves and terahertz spectrum makes it possible for wireless transmission among network devices situated in the near-field region. As a byproduct, Dynamic Metasurface Antenna(DMA) and other small-sized antenna arrays have been widely applied in this scenario due to their advantages in transmission efficiency, physical size, and power consumption. And related research has received increasing attention. Aiming to improve the energy performance of receivers in near-field wireless transmission, a downlink near-field wireless Simultaneous Wireless Information and Power Transfer(SWIPT) system based on DMA is proposed. Under the condition of satisfying the minimum transmission rate requirements of all information users, an efficient solution for jointly optimizing the tunable frequency response matrix of DMA and the digital precoding vector is proposed for this optimization problem. In addition, the influences of factors such as the distance between users and the minimum Signal to Interference plus Noise Ratio(SINR) on the system performance are also discussed on this basis. Simulation results show that the scheme proposed in this paper can effectively improve the joint performance of wireless information and power transmission compared with other existing technologies.
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基本信息:
DOI：
中图分类号:TN929.5;TN820
引用信息:
[1]谢继尧,赵毅哲,曾其旋等.基于动态超表面天线的近场无线数能同传波束设计[J].无线电通信技术,2025,51(05):899-910.
基金信息:
河南省自然科学基金(252300421516); 河南省科技研发计划联合基金重点项目(225200810033); 郑州航空工业管理学院科研团队支持计划专项(23ZHTD01005);郑州航空工业管理学院教育教学改革研究与实践项目(zhjy24-09);郑州航空工业管理学院研究生教育改革与发展研究项目(2025YJSJG31); 河南省高等学校重点科研项目(26A510017); 宁波市自然科学基金(2024J233); 河南省杰出外籍科学家工作室(GZS2022011)~~