Dissertation
Novel antenna technology for Internet of Things applications
Doctor of Philosophy (Ph.D.), Drexel University
Jun 2020
DOI:
https://doi.org/10.17918/00000160
Abstract
A growing number of physical objects are being connected to the Internet at an unprecedented rate to realize the idea of the Internet of Things (IoT). Meanwhile, 5G (the fifth generation of cellular network technology) is considered an important enabler for the IoT, for the reason that 5G promises vast improvements over the current capabilities of 4G systems. Not only will it allow extremely fast data speeds and channel capacity with lower energy consumption, 5G will also enable latencies on the order of a millisecond. 5G features meet the needs of IoT scenarios which are mainly characterized by small data packets, a massive number of connections to devices with limited power sources, and delay tolerant communication. There are lots of application scenarios of IoT such as: self-driving cars, healthcare, logistics, smart homes & cities, and retail. All of these application systems require novel antennas as the intermediary between electromagnetic waves and binary data. Recongurable antennas, phased array antennas and wearable antennas are emerging technologies to address these IoT issues. Some of these new antenna technologies can be realized with newly developed fabrication technologies and materials. In this thesis, two novel types of antenna systems are introduced, and the radio frequency (RF) performance of a new two dimensional (2D) material MXene will be characterized. We will discuss how these new antenna technologies can potentially be leveraged for 5G IoT systems.
Metrics
81 File views/ downloads
119 Record Views
Details
- Title
- Novel antenna technology for Internet of Things applications
- Creators
- Yuqiao Liu
- Contributors
- Kapil R. Dandekar (Advisor)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- xiii, 87 pages
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- College of Engineering (1970-2026); Electrical (and Computer) Engineering (1970-2026); Drexel University
- Other Identifier
- 991014695234704721