
Applications of 5G technology in flexible electronics
- 1 Harbin Institute of Technology
* Author to whom correspondence should be addressed.
Abstract
As an emerging field in the industry, flexible electronics not only integrates technologies in fields such as electronic circuits, materials, and flat displays, but also spans industries such as semiconductors, materials, chemicals, and printed circuit boards. Its application importance in various fields such as information, energy, healthcare, and manufacturing are increasingly prominent. The main topic of this article is the implementation of 5G technology in the flexible electronics industry. To begin with, this article presents the traits of flexible electronics. Secondly, it stated the development of 5G and introduced its characteristics. The result shows that 5G is not only an air interface technology with higher rates, larger bandwidth, and stronger capabilities, but also an intelligent network for user experience and business applications. Then, combined with 5G and flexible electronics, they are applied in three aspects: mobile antennas, intelligent equipment, and remote medicine. Finally, the current problems and future prospects in the fields of flexible electronics and 5G were summarized. Currently, it faces challenges such as signal interference and power consumption due to the unique characteristics of flexible materials. And in the future, 5G can potentially enhance the performance of flexible electronics, leading to the creation of new products and services in various industries.
Keywords
5G, Flexible Electronics, Internet of Things, Intelligent Wearable Device
[1]. Zhang T., Liu N., Xu J., et al. (2023). Flexible electronics for cardiovascular healthcare monitoring. The Innovation. 4(5),100485
[2]. Myny, K. (2018). The development of flexible integrated circuits based on thin-film transistors. Nat Electron 1, 30–39. https://doi.org/10.1038/s41928-017-0008-6
[3]. Stojkoska B L R, Trivodaliev K V. (2017). A review of Internet of Things for smart home: challenges and solutions [J]. Journal of CleanerProduction, (140):1454-1464.
[4]. A. Jain et al., 2016. "A comparison of SDN and NFV for re-designing the LTE Packet Core," 2016 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), Palo Alto, CA, USA, pp. 74-80.
[5]. ISO/IEC JTC 1, Internet of Things (IoT) [R]. 2014. Switzerland: International Organization for Standardization.
[6]. Jilani, S. F. et al. (2018). Low-profile flexible frequency-reconfigurable millimetre-wave antenna for 5G applications. Flexible and Printed Electronics, 3(3), 035003.
[7]. A. J. Fehske et al., 2009. “Energy efficiency improvements through micro sites in cellular mobile radio networks,” in 2009 IEEE Globecom Workshops, Gc Workshops 2009, pp. 1-5.
[8]. M. I. Ahmed and M. F. Ahmed, 2019. "Design of 5G Smart Watch with Millimeter Wave Wearable Antenna," 2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC), Alexandria, Egypt, pp. 132-135.
[9]. Deng Kailian et al. 2021. Analysis of the Application of 5G Technology in Intelligent Wearable Devices [J]. Internet of Things Technology, 11 (06): 65-67.
[10]. E. G. Larsson et al., 2014. "Massive MIMO for next generation wireless systems," in IEEE Communications Magazine, vol. 52, no. 2, pp. 186-195.
Cite this article
Ren,P. (2024). Applications of 5G technology in flexible electronics. Applied and Computational Engineering,53,84-89.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).