02. Master's Thesis

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Browsing 02. Master's Thesis by Subject "5G"

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    DESIGN OF 60GHZ ANTENNA FOR 5G COMMUNICATION SYSTEMS
    (Nazarbayev University School of Engineering and Digital Sciences, 2024-04-22) Anwar, Talha
    5G technology was developed to transform mobile communication through fast data rates, reduced latency, and enhanced network capacity. Transitioning to higher frequencies, especially in the millimeter wave region, has presented issues related to signal path and propagation loss. To address these limitations, a systematic examination is being conducted to explore the use of the 60GHz frequency band. This action aims to overcome existing challenges in implementing 5G and prepare the foundation for upcoming generations such as 6G. Utilizing 60GHz frequencies can enhance the capabilities and possibilities of wireless communication, leading to a more efficient and productive network. This study presents a proposal for a microstrip patch array antenna consisting of four components, designed specifically for 5G wireless applications, with a particular emphasis on the utilization of the 60 GHz millimeter-wave spectrum. The emphasis of the design is on the choice of a single microstrip patch antenna as the primary radiating component using Rogger RT 5880, Teflon, and LTCC A6M as a dielectric substrate. The antenna is designed to function exceptionally well in a wide range of weather situations while simultaneously guaranteeing robustness and dependability. This master thesis highlights the notable performance variations across Roggers RT5880, Teflon, and LTCC A6M substrates when designing single, two, and four-element patch antenna arrays for 5G communication systems at 60 GHz. The design approach makes use of Computer Software Technology (CST) Microwave Studio, which integrates different dielectric substrates Roggers RT5880, Teflon, and LTCC A6M characterized by a relative permittivity of 2.2, 2, and 5.9 respectively. LTCC A6M substrate offered high-quality antenna performance results when arranged in an elements array using single layer substrate. And Teflon offered better results when arranged in a single and two-elements array. However, thefinal results emphasize Roggers RT5880 as the best substrate material due to its outstanding characteristics like high gain, high directivity, broad bandwidth, input impedance matching,and compact size. The findings offer useful recommendations for enhancing antenna designs and selecting substrates, ultimately promoting the creation of high-performance antennas customized for modern wireless communication applications.
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    PERFORMANCE ANALYSIS OF EDGE COMPUTING FOR 5G AND INTERNET OF THINGS
    (Nazarbayev University School of Engineering and Digital Sciences, 2022-05) Ospanova, Aigerim
    This thesis aims to explore edge computing paradigm for Internet of Things services and applications in the 5G era. Edge computing, with its processing and storage capabilities near end-users, can become a reasonable alternative to cloud computing. User device with constrained processing and storage capabilities offloads complex task to edge nodes for computing, and then, edge nodes transmit the outcomes back to the user. Though various requirements need to be met while deploying edge computing in smart applications, this work focuses on the most demanding and critical ones, such as latency and system reliability. It is crucial to minimize latency and enhance the reliability of the system in time-critical services, such as smart healthcare or transportation. Current research implements a single user – multiple edge nodes model with Rayleigh and Nakagami-m fading channels. It is worth noting that Nakagami-m fading channels are widely used in the fifth generation and beyond systems. In order to comprehensively investigate the topic of edge computing for Internet of Things, we have developed two different types of schemes. Specifically, selection schemes, in which user device offloads task to one edge node, and combining schemes, in which user device offloads task to several edge nodes concurrently. Concerning selection-based schemes, edge computing with cache-aided relay and cache-free relay are considered. In these schemes, offloading nodes are chosen based on the best computing capability, channel gain between user and edge node, or channel gain between the user device and relay node. Numerical results demonstrate that edge computing model with cache-free relay, where the best channel gain between the relay and edge node is selected, outperforms other models in system performance. At the same time, time-division multiple access, frequency-division multiple access, and capacity achieving schemes are introduced for combining case. Thus, it can be summarized that edge computing model with capacity achieving scheme demonstrates the highest results among the others in terms of the reliability metric. Moreover, performance analysis shows that system efficiency can be affected by various parameters, such as transmit power, channel bandwidth, task size, latency threshold, number of edge nodes, and others. Numerical and simulation results are provided to validate analytical findings.