Date of Award

8-4-2023

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical Engineering and Computer Science

Advisor(s)

Cenk Gursoy

Keywords

Bisection Search;Intelligent Reflecting Surface;Iterative Optimization;Wireless Communication System

Abstract

With the growing demand for high-speed networks, 5G cellular systems provide advantages by utilizing higher frequency bands and wide bandwidth, and supporting high data transmission speeds. However, with the move to operate at high frequencies, obstacles such as buildings in urban areas and other blockages lead to challenges regarding received signal quality in wireless communications. More specifically, high-frequency signals emitted by antennas at the 5G base station (BS) can only propagate over relatively short distances toward users’ devices before being blocked by dense buildings in the area or scattered in different directions. In order to enhance the received signal strength at users’ devices, this thesis analyzes intelligent reflecting surfaces (IRS) that reflect the lens antenna beams toward users’ devices in a single-user scenario.

Access

Open Access

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