Thesis
High-performance antenna design for IoT, wearable, and 5G communications
Washington State University
Master of Science (MS), Washington State University
2019
Handle:
https://hdl.handle.net/2376/102524
Abstract
Advances in ubiquitous antenna technology is driven by the continuous demand for Internet of Things (IoT) products. To date, the industry has been addressing these demands by enhancing the signaling strength, speed, operating bandwidth, etc which facilitated different generations of wireless technology (1G, 2G, 3G, 4G, and 5G). Several unintended factors have undermined the benefit from the advances in flexible inkjet printed Antenna of Things (AoT) products. Notably, the challenges associated with these are to maintain constant conductive performance at flexible or reconfigurable conditions. Previous studies emphasized more on the design improvements instead of establishing an ideal printing condition for antenna implementation. This research aims to establish a unique, and cost-effective inkjet printing properties on the photo paper using silver nano ink. This step is followed by the fabrication of an antenna and comparing the response with relatively similar antenna architecture with the rigid FR4 substrate. After printing optimization, and fabrication, the flexible printed pattern was subjected to several repetitive rolling and bending test. The results confirm the robustness of the specimen. Since a single ultra-wideband (UWB) antenna can replace many single narrow-banded antennas, a UWB antenna was implemented on photo paper with the optimized printing methods. The antenna operates over 3.2-30 GHz frequency range and compliant with UWB standards. Finally, a new 5G phased array antenna design is proposed in order to keep pace with the future IoT and high-speed 5G communication.
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Details
- Title
- High-performance antenna design for IoT, wearable, and 5G communications
- Creators
- Tonmoy Kumar Saha
- Contributors
- Praveen K. Sekhar (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525156701842
- Language
- English
- Resource Type
- Thesis