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Authors
Abstract(s)
In this dissertation, the author’s work on small form factor antennas for 5th Generation
of mobile network (5G), Internet of Things (IoT) and Wireless Sensor Network
(WSN), is presented. After a dedicated literature review on the topic, several antennas
were designed and further optimised utilising a full-wave electromagnetic
solver (Computer Simulation Technology (CST)-Microwave Studio (MWS)). Three
of the developed antenna designs were prototyped, tested and characterised in
laboratory environment and, finally applied to a real-world scenario of a wireless
sensor network.
In a first iteration, a high-gain wideband parasitic microstrip antenna, for 5G and
IoT applications at 26 GHz, is presented. An antenna, composed of miniaturised
parasitic patches, has been studied and optimised to operate at 26 GHz, aiming
at the 5G New Radio (NR) Frequency Range 2 (FR2) band n258. The proposed
antenna uses eight microstrip patches as parasitic elements, in a squared layout,
surrounding a central probe-fed patch. The patches operating as parasitic elements
are coupled by the magnetic and electric field created by the central active patch.
Subsequently, the development of directional antennas, for WSN Base Station (BS),
is performed. In particular, two antenna designs have need studied: a microstrip
Quasi-Yagi antenna followed by a enhanced lunar waning crescent Quasi-Yagi
antenna. The latter, considered as a novel antenna design, follows the planar Quasi-
Yagi concept and employs a microstrip dipole as the driven element and, waning
crescent shaped reflector and directors, to manipulate the shape of the radiation
pattern. The antenna is designed and optimised to operate in the 2.4 GHz ISM
band, attending the ease of integration in a multi-sector BS antenna configuration.
A small differential slotted microstrip patch antenna to be implemented in a sensor
node operating at 2.4 GHz, is also proposed. This particular antenna design takes
advantage of slotted resonant elements to reduce its overall size. In particular, specific
project requirements, such as: resonating frequency, gain, Half-Power Beam-Width
(HPBW) are taken into consideration when dimensioning the antenna. Further
studies on the impact of vegetation and fire on the antenna performance are carried
out. The simulations were performed using CST-MWS mimicking several application
scenarios: involved by soil, vegetation and fire, approximating the model to a real
case scenario of a wildfire.
Finally, the implementation of a WSN based on WiFi protocol and using LoPy4
transceivers, is proposed. The WSN is composed of a multi-sector base station and several sensor nodes used for environmental monitoring. The antenna previously
developed have been used in the BS and sensor nodes implementation. The
implementation and performance assessment of such network in real scenarios is
presented, and metrics such as area coverage and max range are determined in the
field.
Description
Keywords
5G IoT WSN Base Station Sensor node Antenna Wildfire