Literature Database Entry
ruehlow2024extension
Jakob Johannes Rühlow, "Extension of the ns3 network simulator to support intelligent reflecting surfaces," Bachelor Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), November 2024. (Advisors: Sascha Rösler and Joana Angjo; Referees: Anatolij Zubow and Thomas Sikora)
Abstract
Intelligent Reflecting Surfaces (IRSs) have emerged as a promising technology for enhancing wireless communication by manipulating the radio environment. However, due to the high cost and complexity of deploying IRS in various configurations, simulation tools are crucial for evaluating their potential. Existing implementations mostly focus on the physical layer, but lack the ability to assess the impact of IRS on higher network layers, emphasizing the need for extended simulation tools. This thesis addresses this gap by extending the ns3 network simulator with an IRS module that allows in-depth performance evaluation of IRS-assisted networks. IRS characteristics are modeled using either a MATLAB-generated lookup table or real-time computations, and validation is performed by comparing simulation outcomes with theoretical models and MATLAB results. The hidden terminal problem is used as an evaluation scenario, illustrating how IRS can mitigate communication challenges by shaping the radio environment. The results emphasize the practical potential of IRS to improve wireless communication performance and demonstrate the benefits of this ns3 extension to enable a more complete analysis of their effects on network performance.
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Jakob Johannes Rühlow
BibTeX reference
@phdthesis{ruehlow2024extension,
author = {R{\"{u}}hlow, Jakob Johannes},
title = {{Extension of the ns3 network simulator to support intelligent reflecting surfaces}},
advisor = {R{\"{o}}sler, Sascha and Angjo, Joana},
institution = {School of Electrical Engineering and Computer Science (EECS)},
location = {Berlin, Germany},
month = {11},
referee = {Zubow, Anatolij and Sikora, Thomas},
school = {TU Berlin (TUB)},
type = {Bachelor Thesis},
year = {2024},
}
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