A High-Efficiency Diplexer for Sustainable 5G-Enabled IoT in Metaverse Transportation System and Smart Grids

Jamshidi, Mohammad (Behdad) and Yahya, Salah I. and Nouri, Leila and Hashemi-Dezaki, Hamed and Rezaei, Abbas and Chaudhary, Muhammad Akmal (2023) A High-Efficiency Diplexer for Sustainable 5G-Enabled IoT in Metaverse Transportation System and Smart Grids. Symmetry, 15 (4). p. 821. ISSN 2073-8994

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Abstract

Symmetry is essential in the design of complex systems like the Metaverse Transportation Sys-tem (MTS) and helps ensure that all components work together effectively. In the development of a microstrip diplexer for 5G-enabled IoT and MTS, maintaining symmetry is crucial to achieving flat responses with low group delays. By integrating transportation technology and the Metaverse, the Metaverse Transportation System (MTS) can greatly improve the effectiveness and intellect of transportation systems in reality. To establish a dependable network, it is essential to include 5G-enabled Internet of Things (IoT) and sensor networks with a sustainable design that focuses on efficiency and energy conservation. A three-channel microstrip lowpass-bandpass diplexer has been developed for 5G-enabled IoT and MTS implementation. Multi-channel designs are rare due to the complex design process, but this diplexer is very compact at only 0.004 λg2. All channels have flat responses with group delays of 0.34 ns, 1.7 ns, and 0.34 ns at the lower, middle, and upper passbands, respectively. The lowpass channel has a cut-off frequency of 1.22 GHz, suitable for mid-band 5G applications. Compared to previous work, this diplexer achieves the smallest size, lowest group delay, and insertion and return losses at the lower channel. It consists of a lowpass-bandpass section connected to a band-pass filter analyzed mathematically, and its performance has been verified through simulation and measurement with good accuracy.

Item Type:	Article
Uncontrolled Keywords:	sustainability; metaverse; diplexer; 5G; smart grids; diplexer; IoT; intelligent transportation systems
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty of Engineering > Department of Software Engineering
Depositing User:	Dr Salah Ismaeel Yahya
Date Deposited:	08 May 2023 10:12
Last Modified:	08 May 2023 10:12
URI:	http://eprints.koyauniversity.org/id/eprint/365

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