• 文献标题:   Design and Modelling of Graphene-Based Flexible 5G Antenna for Next-Generation Wearable Head Imaging Systems
  • 文献类型:   Article
  • 作  者:   RIAZ A, KHAN S, ARSLAN T
  • 作者关键词:   fifth generation 5g, next generation mobile network ngmn, longtermevolution lte, core networks cns
  • 出版物名称:   MICROMACHINES
  • ISSN:  
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.3390/mi14030610
  • 出版年:   2023

▎ 摘  要

Arguably, 5G and next-generation technology with its key features (specifically, supporting high data rates and high mobility platforms) make it valuable for coping with the emerging needs of medical healthcare. A 5G-enabled portable device receives the sensitive detection signals from the head imaging system and transmits them over the 5G network for real-time monitoring, analysis, and storage purposes. In terms of material, graphene-based flexible electronics have become very popular for wearable and healthcare devices due to their exceptional mechanical strength, thermal stability, high electrical conductivity, and biocompatibility. A graphene-based flexible antenna for data communication from wearable head imaging devices over a 5G network was designed and modelled. The antenna operated at the 34.5 GHz range and was designed using an 18 mu m thin graphene film for the conductive radiative patch and ground with electric conductivity of 3.5 x 10(5) S/m. The radiative patch was designed in a fractal fashion to provide sufficient antenna flexibility for wearable uses. The patch was designed over a 1.5 mm thick flexible polyamide substrate that made the design suitable for wearable applications. This paper presented the 3D modelling and analysis of the 5G flexible antenna for communication in a digital care-home model. The analyses were carried out based on the antenna's reflection coefficient, gain, radiation pattern, and power balance. The time-domain signal analysis was carried out between the two antennas to mimic real-time communication in wearable devices.